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Paper Citation Record · LEDGER

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

As of 20 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 100 inbound Pith citation observations for arXiv:2310.11511.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.11511 v1

Coverage vector

measured 100 of 154 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T14:15:10.907921Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 100 of 204 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:03.267731Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 154 outbound references displayed

  • verified exact18
  • verified fuzzy63
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch18

External citation measurements

89
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 99a27ff0-8e4f-4799-b6f6-c2a9ab2b0cca · outbound

This paper cites Learning to retrieve reasoning paths over wikipedia graph for question answering.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Learning to retrieve reasoning paths over wikipedia graph for question answering

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.526427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6b81808db2683ff9fe18004c16f8ca81e7c967714072849cbfb79a4c3314c965

Observation 8b11d844-4d0f-48ca-ab2e-7f8b58d2890f · outbound

This paper cites Retrieval-based language models and applications.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Retrieval-based language models and applications

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.536915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6e473a1032621cd3d89d2717d9dbc0a462d8be318e17f86dcd380c68dc72a4be

Observation 0f2f82bd-9a7e-405e-96d4-f480a12ad972 · outbound

This paper cites Task-aware retrieval with instructions.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Task-aware retrieval with instructions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.541215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:434f93bf1540630625d37b4d711070897d6097d5c9fe3f1dc9a83e77d3ba8059

Observation fad2b84b-1298-48a3-9cfc-b3ed71368096 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.546442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:3a8859fcefab1fb058069514a5ae2b5185c45defa2b6dd77d994e90c0752572b

Observation 50b9ddda-c696-41a0-9d8c-6bd076d567fa · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:06:50.701847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:7c026c090afde82624b8794eafe223cdf017d1611a94252067f615e3571d5a10

Observation 965fafc5-b942-4966-8b14-310c42085835 · outbound

This paper cites Wizard of wikipedia: Knowledge-powered conversational agents.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Wizard of wikipedia: Knowledge-powered conversational agents

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.550228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:bd0aa16c6c55069487c32c20195b1b00bb5a5d5b3a04953c964eae14c72f705a

Observation f00eb8bc-89ef-4551-897f-32cd43ff7f5b · outbound

This paper cites Retrieval augmented language model pre-training.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Retrieval augmented language model pre-training

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.025046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:7833cab40564250fc597d7c4bbd89f2ad448a23c4f251062781caf8570f12e84

Observation 349e4322-6620-43fb-9faa-d61a382c042b · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Unsupervised dense information retrieval with contrastive learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.554167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:7ee0246fd2579a06c9ed4f783f9418c5f32256d4ddf111108fdba9eebc0eaea9

Observation 65bb199c-5003-4202-8041-abb9c0b3bbbc · outbound

This paper cites T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.557795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:cfaa919334fa3319ce285da44dbb3c6d313c6979d691fad5ab606298c5e65635

Observation aa6db49d-47f8-4cf8-a3b2-6558f21ca519 · outbound

This paper cites Pretraining language models with human preferences.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Pretraining language models with human preferences

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.561687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c823f2495e53d557bc49a624efb1549f8352ec20c36089a84c3e707aafb253a9

Observation 21f84c53-79a7-4441-87c5-2df22a3de8c5 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.566016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:71ceb21e3b99e226816ac5659bb6a075db59339e273e7f595aadaea96839123c

Observation 44a29f19-7905-4a89-a7ad-7673f5708cf5 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T15:03:08.022500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:481e7ea1781f60a3c2f8c6ec358f95009f1cd33556670d052df71ef771adb368

Observation ff488b35-d71c-46c7-a8a9-bf62c352decf · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.569488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:a869fa7886a55e21731e03d0fb32e48f587619436b1bb106424172e693e488ea

Observation 1571f851-2ec6-444d-a593-a0bad6fee2ea · outbound

This paper cites RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.332690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8686d60e693bff4cde65358999f39f8501e53f021051c0a5bdfd9a7be0ee1fbc

Observation 611c414f-34ff-4fed-9531-3b7779c293eb · outbound

This paper cites QUARK : Controllable text generation with reinforced unlearning.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection QUARK : Controllable text generation with reinforced unlearning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.579090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:796e8c6d7e13bc9e576287264afb7476ddda2322f4d6af030645a5684d356eed

Observation 466fc6ed-05bb-4e26-84fe-d651e4f1fee0 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Self-Refine: Iterative Refinement with Self-Feedback

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-12T14:15:11.180297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:9fe020c51fdf543c0566e186c8d7d74cf79d9ee44c60185e7e9055cd1196cbea

Observation ba850eda-cd07-4b75-aa17-53fdffe7a508 · outbound

This paper cites When not to trust language models: Investigating effectiveness of parametric and non-parametric memories.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.583893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6cc63a8eaea82da1c9f3f199a60b560a894dc1e239d2df8d341a3c4ac24d0851

Observation a3eeedcf-adf5-40da-a5a8-ea1f459a1483 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.587213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:aea8e06765b3a79a85820436dc7a42b522f8bd13080246eb765975dab6a594cb

Observation 332b84dc-2038-460c-a3b1-dd3cc5e7b0ea · outbound

This paper cites A discrete hard EM approach for weakly supervised question answering.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection A discrete hard EM approach for weakly supervised question answering

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.590546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:08db97c6c4663f1b2766b8395fcbba941543380ac194f88c7e26a0e73df30106

Observation 35b3cd6a-7a29-43cf-8c16-6b5ecc2cc1a3 · outbound

This paper cites Large dual encoders are generalizable retrievers.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large dual encoders are generalizable retrievers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.594007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:5d3408de2e4ee4d6434aa5e0979f2e7848dcc831e79a291c17e19d109eaa6e0a

Observation 1ad457f1-722c-48d8-b8ad-9bdab6008203 · outbound

This paper cites Training language models to follow instructions with human feedback.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Training language models to follow instructions with human feedback

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.597869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:cd0d4ef8923b3f4535231fb9aaa2eda47c6c76e6d3a03d90553c0ee0cb1b920e

Observation 5ec55e9a-2837-4dd8-8f29-f699904138f3 · outbound

This paper cites REFINER: Reasoning Feedback on Intermediate Representations.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection REFINER: Reasoning Feedback on Intermediate Representations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.188259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:08fd3552988ea163b2b06f81705afd20e75a524639273a483e27a3530873cf43

Observation cbecd02f-b517-4f16-a4d2-5354bde9e2fa · outbound

This paper cites KILT : a benchmark for knowledge intensive language tasks.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection KILT : a benchmark for knowledge intensive language tasks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.602219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:87e1f2711435117a5af214187e38cbb0773e81d8a4d536d3fbd90546cc257dca

Observation d049a03b-e496-40dc-887e-4d696bda7877 · outbound

This paper cites MAUVE : Measuring the gap between neural text and human text using divergence frontiers.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection MAUVE : Measuring the gap between neural text and human text using divergence frontiers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.605582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:dd1009395703988b81614c6265d76e67d1ba3600910cc4d8ff65fdcfb58560ce

Observation b3810f7d-78ca-438b-b7b1-9f3a3285bad8 · outbound

This paper cites ZeRO : Memory optimizations toward training trillion parameter models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ZeRO : Memory optimizations toward training trillion parameter models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.018896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c0234ca27dca15e39b6c78b2e27725fb5f8e9db6e4061e2ce67139ba425250ef

Observation 2cce0095-f54c-470f-838a-72745a750b31 · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection In-Context Retrieval-Augmented Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.317713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:827514536b801634dee4bf84e84aceb29a0ebe7f59d60be396970ab421977f0d

Observation 2d38456d-0332-411f-8394-c40ee91823ff · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Multitask prompted training enables zero-shot task generalization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.609404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:b1e444b765bd019f88b2f780793b5051c9476269b8602fc9150e00bee8649979

Observation db6a1fc6-fa68-4c8b-91c8-3722f21a3f36 · outbound

This paper cites Chi, Nathanael Sch\" a rli, and Denny Zhou.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Chi, Nathanael Sch\" a rli, and Denny Zhou

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.612970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:ab0cbfc84a80764632a9bc14db01c30d24ef6cd350d1b8f072cac75f02b19af3

Observation 4caa7147-e0c1-450d-8a2c-d72011cfaae9 · outbound

This paper cites ASQA : Factoid questions meet long-form answers.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ASQA : Factoid questions meet long-form answers

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.616707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:40d3bd3b02492b96a3c93ada192a840e66b68e4556fc9a10a8fbf89aad962cc3

Observation 8758f7d9-8fae-48a3-a2e1-06017121078c · outbound

This paper cites FEVER : a large-scale dataset for fact extraction and VER ification.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection FEVER : a large-scale dataset for fact extraction and VER ification

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.620002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:56e2120d352148b81d61dcf62644184e8bf680d8bdff32078dd31a3e84d9ca39

Observation 4f859f2e-d80b-416e-aa6d-a02874d4be5e · outbound

This paper cites Dai, and Quoc V Le.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dai, and Quoc V Le

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.623199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:e5834f06ab46e252a6d081cdecc9a612a72ebaf15f7cb99fe1326a430f79eda7

Observation 43985dd1-6cdc-48d7-858a-281e9932901a · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.251655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c53d4f225923df3e4d4a12ebe785ceb880447f6b0e54951fbe7f11f6ec7b9121

Observation dc54b941-7eea-4ff6-a017-bca4ad0fbc9b · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:26:04.564922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:60d9bce3dafcc37d09958b8dc40db90bf19e2d8f563f80e060dd078ec1c118ad

Observation 8940a7d5-f7e3-480d-9b4f-72c1a530efd9 · outbound

This paper cites Scaling Learning Algorithms Towards.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Scaling Learning Algorithms Towards

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.626810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:82f806ebf5dfa2d2487a7ef71b785961e994a105842a03b47af1b50784ea2085

Observation 146e4570-4f79-43f1-954a-7071f4d26170 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection and Osindero, Simon and Teh, Yee Whye , journal =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.630011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:1389bf1bef67e4706249f2391bdf8e1e8bf6991be875088d3d1eed0d81549c15

Observation 51be8c7a-cf21-493c-9d63-a9953a78f2dd · outbound

This paper cites 2016 , publisher=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 2016 , publisher=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.633468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6a2b2a7d711431eca11c1ead65f2bb62f13965e465583e1c4dffc5fe3e0f73cb

Observation d22bd204-09b7-4afa-b836-b974f39f958c · outbound

This paper cites Advances in neural information processing systems , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Advances in neural information processing systems , year=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.637062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:123d93d94f89c8c3a3e8cafdf0fa8fb5749582567c67858a08aa38b11a204e1a

Observation d49e35f0-24f7-4039-bda9-2650af4bf596 · outbound

This paper cites ArXiv , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ArXiv , year=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.641021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:cfa5b05c33c3844534cee5de1b52c5b3538b788a5af7160a2a5fa843232a9b55

Observation 50de1802-f320-4305-ac0e-0ca82f8a580b · outbound

This paper cites BBQ: A hand-built bias benchmark for question answering.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection BBQ: A hand-built bias benchmark for question answering

Reference 64

Resolution
verified exact
doi, observed 2026-05-12T14:15:11.007929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:e4468dacc33567f48b6f43c1ebbf121bd17576fab2c7dc82bd01e2d6bff7377b

Observation f89a5ebb-8540-4c51-ae06-7d29ed8681f1 · outbound

This paper cites Counterfactual Memorization in Neural Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Counterfactual Memorization in Neural Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.380146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8ccec946040840de423e9532c7fad629567358ff695e19a99cd57d0911f70a7b

Observation f2014641-a06c-44c2-b04e-9ae8c43b7e27 · outbound

This paper cites Measuring Forgetting of Memorized Training Examples.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Measuring Forgetting of Memorized Training Examples

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.051443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:7b647774af3a1e3ce688369c6b6e9a09b40f8bee28204c05239bca938600bf42

Observation 64850f52-a768-4d0b-a176-271db1db500e · outbound

This paper cites Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.146587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c04a3228863c7ad433f67c1a72c718aad6bc03fa6e9368a72883c3d5d19c8b14

Observation 46c9d19e-4900-4173-b955-2aba1c198c62 · outbound

This paper cites Understanding Transformer Memorization Recall Through Idioms.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Understanding Transformer Memorization Recall Through Idioms

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.156543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:080161397914f0289488a89a8f605312bda73135bde517a1f6363d04bef06aa2

Observation b2142610-b6f6-44e8-9474-a2825a6c706f · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.644967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8ab25d7c0b863d5b672f9aff77e94ba36b610275655461567bc7db7e8923bb51

Observation b8fd2767-90ad-4698-a9fc-1b36ef60d853 · outbound

This paper cites ArXiv , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ArXiv , year=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.648240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c460777971e2099d732b5f694f8c733508e482c78098a64948de555fa9bb6856

Observation a3203634-be83-4e0a-8577-bb3b5445119b · outbound

This paper cites ArXiv , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ArXiv , year=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.651822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:691964059cb26c411c2cc899795d42ce9e55a1cef0e5593b96c5db54e9b21189

Observation 20dacd28-ec51-4ee6-ab25-e39c15100f6b · outbound

This paper cites an unresolved cited work.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-12T14:15:11.657227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:82e3cd63c2b707b57f26665740f876971b2352ec4a9a92e1d0f28328e4ecc846

Observation b2411d2a-fa71-41f4-b6b7-8b76312ec8e2 · outbound

This paper cites KILT : a Benchmark for Knowledge Intensive Language Tasks.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection KILT : a Benchmark for Knowledge Intensive Language Tasks

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.660648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:3ca6532838f24adca4fdc9d1a4c6945f10417348aca16b75e606d9c6e87da432

Observation 9cc21ba1-72e4-4849-8a7d-679dc257b467 · outbound

This paper cites Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Generate rather than Retrieve: Large Language Models are Strong Context Generators

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.274846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:858c786796831cfd893686ebbe1357b921da45bd21595b22e244fbd616e42724

Observation d59674d0-e163-406c-b6ed-5cf6abd8aa67 · outbound

This paper cites Large Language Models Struggle to Learn Long-Tail Knowledge.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.002234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:0774ffa560acaed207911c1308cf893cafdf24279607bdaa77ca4cc2f037f6da

Observation 99625f85-493a-4c2d-9576-0d699f237d31 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2021.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Findings of the Association for Computational Linguistics: EMNLP 2021

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.663908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:b85edeee7bb7497eeaf4d342947760b9fbf1b6869147812f6a4bd88322c8408e

Observation f1120b79-6703-4b13-ac43-260d0d7bbf8e · outbound

This paper cites Nature Machine Intelligence , volume=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Nature Machine Intelligence , volume=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.667468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:ac59ff52366c6398e6d3b4e20eeb6ef6b0a90bea478c7000c040c820b8a1e0e4

Observation 11fa8981-e08b-433a-8ce3-0e67f1d63ca0 · outbound

This paper cites Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.301142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:5cba10828821c975d1ac451235f4a53843ca90a7eca2c27799963fcace59412c

Observation 5b46cb14-98cc-4f9b-a60c-d3ef621fa086 · outbound

This paper cites OpenAI blog , volume=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection OpenAI blog , volume=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.671155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:9436a03a211079c25ed0bddadf2172ae72fc9358a3ccd409bd671ba8e64dc762

Observation b232fbd5-29b8-4c17-bf37-ed76bf271b76 · outbound

This paper cites International Conference on Learning Representations , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Learning Representations , year=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.674835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:458bdaa3a2d4fcd2bdab4bf3509d7f560c4d9ae5a698dfc885247ddb7114fc94

Observation 7cb74263-c1ed-42e2-ad09-14c7a14af2f7 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection OPT: Open Pre-trained Transformer Language Models

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T14:15:11.359841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:5cfc2e4b44d4c79e970c8951b712a7e5868672f0fe55599f4b78dea1c9578ee2

Observation 22f56bc8-dd2d-405e-949f-3a84f083001b · outbound

This paper cites and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.678341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:e05592a5f77f76ed46a4c502030506e62f0840bab54c3387be578a63d71fb972

Observation 7fa55cb8-9cd7-4b5d-aaee-980d2b075780 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , year =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 39th International Conference on Machine Learning , year =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.681871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:912d9bfa3f1a3126256106f4efb5a9f64af2d1ebbf83e843e6f00f383947b0f5

Observation a5e07adf-23fc-456e-8c1a-ec902d179d74 · outbound

This paper cites Advances in Neural Information Processing Systems , title =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Advances in Neural Information Processing Systems , title =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.685431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:17642bbf3924b46de668d6c5b47e7f2a6077fa51738a8e508f7a7c5ad64cd5e9

Observation 2990bc7d-1c35-4c14-ae32-0348c7a1bfe9 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dense Passage Retrieval for Open-Domain Question Answering

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T21:24:42.733368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:078f0c9ead9332c283f448323471abb487fd798c613c1430e8489c186fbbf154

Observation 5ca507bc-0814-4aa6-a906-d34108b5e225 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Measuring and Narrowing the Compositionality Gap in Language Models

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T17:52:28.746225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:3b6a14db297bf7770eb8d0144a39693aff53053e6ced56f7954852bdf0277117

Observation bf892ff0-b571-48e0-aa41-e0c88572ee45 · outbound

This paper cites Simple Entity-Centric Questions Challenge Dense Retrievers.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Simple Entity-Centric Questions Challenge Dense Retrievers

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.418340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:95b58cef6b3b723af217f998b1de6ace272795f939bb1c2666f348d981502333

Observation 7f081f40-b92f-47a0-bee9-32dd467a953b · outbound

This paper cites Language Models as Knowledge Bases?.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Language Models as Knowledge Bases?

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T10:51:46.148328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8527edc12a9308630ef4817d5ffbae30b8c57af575a7277d3578a9fd13dada6c

Observation 9048ca19-1d12-48c7-8719-84d19999f351 · outbound

This paper cites How Much Knowledge Can You Pack Into the Parameters of a Language Model?.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.689204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6fa6a6c4893c662309252dc1f36133e2a150af1dd36331be0616bdf1a605311c

Observation b51fef49-47a3-4847-b4a8-52917a898310 · outbound

This paper cites Large Language Models Struggle to Learn Long-Tail Knowledge.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.093431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:54dd36bd918d19e1bae559e22800075366d366c024f86cfe22524e857ee2aeb9

Observation f813d0dd-4b17-49e5-b3a9-4b0b94368a47 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.100146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:521be6805a5353e2e3b7e4e86d9192a7826f8db84e68d6334f804377f67f6ff1

Observation a1ad500c-e01f-42db-85b6-023a100ac008 · outbound

This paper cites E - BERT : Efficient-Yet-Effective Entity Embeddings for BERT.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection E - BERT : Efficient-Yet-Effective Entity Embeddings for BERT

Reference 92

Resolution
verified exact
doi, observed 2026-05-12T14:15:10.996191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:661194146801b2669cc71116e86e513ef237761611b636d12e3578b1ac77967e

Observation fb8927e3-08a5-4372-b4db-89047c46db5f · outbound

This paper cites Transactions on Machine Learning Research , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Transactions on Machine Learning Research , year=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.693273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:3f3bd2a23fbbe1382358fd69f2c0607ed2192e63fd354bc5dc9fad143c4eb11e

Observation dbb9c095-2a2f-4c01-8606-255b350f049a · outbound

This paper cites Foundations and Trends.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Foundations and Trends

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.696230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:a29da9ee800fa083c0e106b70e178589224bd052d1e97816af7012a63457989e

Observation afd10e2e-d335-49a1-8935-b299029ee3f2 · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:48:43.695710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:34a9c4d31a9672b7b7b553cc24029fc887f98599a74efaa4a53faf82735fd86c

Observation 21061450-7c75-444d-9c4c-46c89d3dcdaf · outbound

This paper cites International Conference on Machine Learning , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Machine Learning , year=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.699098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:79b56f68310ed605e5b1fcfceb188511fbe71a63e9d3cba2f788018c86892cfd

Observation 0a19223a-c63f-4f2b-ac44-a81b58c08b7f · outbound

This paper cites International Conference on Learning Representations , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Learning Representations , year=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.702107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:76a3eaab293eb40e0c1cca3b19c76667709ae088e1ab42f539ba522e7bba42ab

Observation e3131179-d8e4-4ca8-afe6-555be2374366 · outbound

This paper cites Entities as Experts: Sparse Memory Access with Entity Supervision.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Entities as Experts: Sparse Memory Access with Entity Supervision

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.705488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:508bf72de194f3dc1e65f216ca7f51ca7b81a491cc54f4e8dad671cb6dfb9460

Observation 7e8d4e9a-014a-4ae6-987a-439662978f10 · outbound

This paper cites International Conference on Learning Representations , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Learning Representations , year=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.709270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:aebb4dd0b648f719a51059e2a2af23c1923e401a68108e3f32ac14a7d4f8474a

Observation d34d470e-f4f6-4143-9a7f-78c4e4f335fa · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.713244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:5278687ed2e0d4861ece288d1a9ea05e9a6f52f738bb6c2ada0112806d889eb8

Observation e112525d-4d6a-44ea-98ba-0f6e2ab02ba1 · outbound

This paper cites Task-aware Retrieval with Instructions.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Task-aware Retrieval with Instructions

Reference 101

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.269695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:c2d2b633e1289e5b701a1e5ff0b7840c3983a8c0631ed964d6f9f6768b7c61d7

Observation fa381b21-c7e3-47ee-b9d2-32ffc977ff52 · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.717476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:a91340e212500b77225932e9ff6faa84a600abb42cae7c59df311287975402de

Observation 42425a06-9994-4e42-8d44-7839771a755c · outbound

This paper cites Controllable Semantic Parsing via Retrieval Augmentation.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Controllable Semantic Parsing via Retrieval Augmentation

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.721461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:2c0264f4965d4bbf931afa1e04700c6a307080953aa9789e38c4a8c04e9bda0d

Observation 4f5be1df-8825-4a73-861f-e09264642967 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Advances in Neural Information Processing Systems , year=

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.726722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:32342093fca42894abe28e9f7281c9df80b562dbd2c6846fd9ebb98fa7f50b0c

Observation 18db8425-6485-486a-afbd-b4ace9b16b29 · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.730418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:65b45db6bceaa151312c6c941ce5093c02149f3a6635ddc23bfc8e4447298701

Observation 437f27d8-a5f0-49ff-8856-32d0ac7c6fee · outbound

This paper cites Retrieval-Augmented Multimodal Language Modeling.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Retrieval-Augmented Multimodal Language Modeling

Reference 106

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.295731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:2e44899400dd0c57bc2a0fb4e7b4d444d9102a3a3d934570981ad897a6b295ec

Observation 78863d50-8b47-4ff8-bd37-773dd4e04a70 · outbound

This paper cites Editing Factual Knowledge in Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Editing Factual Knowledge in Language Models

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.734247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:9f758f4aad7ba10dcc054c2e949acae0c9342a63ea2ce52c7e0f1409136f4221

Observation fe95c6ac-6d27-40b8-9c50-14c91332bccf · outbound

This paper cites 2022 , url =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 2022 , url =

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.737872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:039c59777f14b48275b9d2489f0d440ee16e71f6d6c599d0b3679242c0b0ee34

Observation 6806bd7a-eceb-497e-8f02-c412edf09391 · outbound

This paper cites https://openreview.net/forum?id=73OmmrCfSyy.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection https://openreview.net/forum?id=73OmmrCfSyy

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.741770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:86414f5bdd448accdf6db52b6ad25a10a2a0319525a3732a1d0c93ce48979369

Observation d66a184a-1ff5-4b30-9f75-0f12011d0e38 · outbound

This paper cites RealTime QA: What's the Answer Right Now?.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection RealTime QA: What's the Answer Right Now?

Reference 110

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.345326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:3fd07493af9297a51e9a994a4b9d3a50c9bb09027e0b0ad3e3e80390a4f740bd

Observation 33cc8354-cc6a-423c-b2cb-2370aed2b462 · outbound

This paper cites Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks

Reference 111

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.351699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:fb3d9b16d8e29a7e487b131ea99c69a3f27ecf370bd41485b2dd562147da72b2

Observation a4d586c7-6b55-4ace-8aab-585f2c48a153 · outbound

This paper cites 30th USENIX Security Symposium (USENIX Security 21) , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 30th USENIX Security Symposium (USENIX Security 21) , year=

Reference 112

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.745631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:307601a65e0b5e7f79e8f668470333026a8c98747f59b8c4caa65fb1aa7f7c87

Observation 7e5c5171-00e6-4ae2-8588-d01d941f4ed5 · outbound

This paper cites Nonparametric Masked Language Modeling.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Nonparametric Masked Language Modeling

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.366626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8117fb5b44b7bd0cb52a2a95acb390092e734dd3ac6b97ceddb05898762744bf

Observation a931e559-0a03-4e9d-bb49-6da07c46f0e6 · outbound

This paper cites International Conference on Machine Learning (ICML) , address =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Machine Learning (ICML) , address =

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.749128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:fa7ce1b444d2270531039b001c10812b2458df5c2ba010105fd603472794b546

Observation 5bbdd530-0e39-4525-a6d7-36ec9ab2fb1e · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , address =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , address =

Reference 115

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.753481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:56187cbafa69342c5c38b4c1ebd4bf571dbcf2f5f5a948a5f77479f80004da07

Observation 5c05591e-8113-41bc-8282-6c4808a3cf23 · outbound

This paper cites International Conference on Learning Representations , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection International Conference on Learning Representations , year=

Reference 116

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.757020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:ccefef4a7b31dd504695bbac25b810e1500b331331577a4c4436f5e08dd02f71

Observation f4a1394f-2830-4537-9267-eb516fa020a7 · outbound

This paper cites Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , url=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , url=

Reference 117

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.760802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:8f7cdb0f2599a8f2baa6b4d254565d6f98f9ca3dc9aa2370095cfa620a45162e

Observation c76c7b1c-5bd6-47ef-852f-65bad7eb9ae8 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 118

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.764619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:01f395764f0b3cf840317353dd1641b7e6939c5201e0cdbfe98cb30127251343

Observation 9c5e0b22-2fb0-4542-9606-5ac52f9bbdc8 · outbound

This paper cites Teaching language models to support answers with verified quotes.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Teaching language models to support answers with verified quotes

Reference 119

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T11:45:48.341649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:bcc7ea186500da3aa72204cd2ffd32ff7e3080c7754ecc41142b345488c629a7

Observation 0737c2c5-8c53-4395-b57d-831764708341 · outbound

This paper cites Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.410359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:a1612b986a500d8e232a92873549ce6b1f12a2e1213ccf3334322a9e169300fe

Observation bb36b974-c449-4aae-abbf-826de1edb53d · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Advances in Neural Information Processing Systems , year=

Reference 121

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.768003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:0794def2afb033d6da48b97f712bee05dd69115f58e1f62934e4b6fb3f822598

Observation c12ae18d-af38-4fab-bf24-e7211b66913b · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection The False Promise of Imitating Proprietary LLMs

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T06:54:31.902059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6b0a1ad4295203ec914c7a143b14484843fb9d4ab4f60983a33f235cb16c9e00

Observation cc1751da-c228-45e8-b50c-2859a14864f8 · outbound

This paper cites Evaluating Verifiability in Generative Search Engines.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Evaluating Verifiability in Generative Search Engines

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.041018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:ca0a24d62047dafbb9cbafe9bdbe5d0c92f5abe30ebdd5f4f5698474c6053ac8

Observation ce3e0cb9-9787-4098-81e1-915806f21972 · outbound

This paper cites 2023 , url =.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 2023 , url =

Reference 124

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.771645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:ddc0b43812e93dc3681d05784816bed9b2132fe14dba3896dce44501b4dbe7a9

Observation 2d6678f1-207c-41bf-b431-2e23a24bffe1 · outbound

This paper cites 2022 , url=.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 2022 , url=

Reference 125

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T14:15:11.774929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:15510ddab0905539250af31ae7f458ca831780bd08da7d68f8f3915be98e2323

Pith citing papers

Observation 999527c4-1219-4519-84cf-5748e861d8ba · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T02:46:27.226019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:6baa00f0a7442bade8c1f61eecd613e98ff91f279293a54617283a8b0409b5b4

Observation ad0dd05f-b5a9-4e1e-8c99-72ced2284699 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:13:57.173434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:40594ec5f3ae72a632e7773510761411ff021bad487be5fd98858da2b5c9cf42

Observation 1c014f4f-d465-4655-afaa-d057c5f15845 · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T23:31:11.640427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:3d7c450f6525f7d60d2e7a83a83b292f0d1ed275ef298abdec8c59e77f906566

Observation 606bc06d-ea57-4a14-9b3d-42c1861005b9 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:32:17.344887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:6d1bc155710d36263d1aede8084d7362d4bb857ca75b22eec06ab6e51ce52f58

Observation 277e597b-daac-4fb6-a26b-5f172548f8c8 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-24T02:15:55.477367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:4905a032a44d4308838974c09f16b6b832f06d000441761f58f2bd78ea063d6e

Observation 3aff371e-3894-498e-8346-82188b6b8a41 · inbound

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments cites this paper.

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-21T13:53:19.560796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T13:53:19.535482Z digest=sha256:fa035097edbf401d7cc402626cf21af1fab6c7a4878c019e3faee45698a19f95

Observation ed9b4b7f-7234-4762-a5d3-3334ce2d63f3 · inbound

MinerU: An Open-Source Solution for Precise Document Content Extraction cites this paper.

MinerU: An Open-Source Solution for Precise Document Content Extraction Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-16T04:00:25.674596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T04:00:25.624430Z digest=sha256:56729b0052fe762b2d525c962eb23cd6cf2f9f3375f9fc6e5d5e93a5c880a64a

Observation 32243d36-7b8c-4433-90e2-2f0e8c2ad02a · inbound

Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach cites this paper.

Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T21:45:55.135979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:45:55.135979Z digest=sha256:c7303f2503db84a313d0711f193c0f1fa88c6ecc4ed9c6b14cbd31aa76ba824e

Observation 065a8d89-bed4-4509-95b1-274c9b173815 · inbound

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning cites this paper.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T16:58:25.045483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:58:25.045483Z digest=sha256:ae731ed1c8809e2276b9079793f7b74b43912d496112150df98615c7f44b3b7f

Observation a9cd680d-0338-445a-b3c8-20ec4459d95c · inbound

mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA cites this paper.

mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:38:17.160452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:38:17.160452Z digest=sha256:804c96d0fdf45cd2b5a6253de6be7ebc275602ad916d9d6632c40c684336b9b1

Observation 1b44e599-efae-43a8-993c-e3b223148af2 · inbound

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution cites this paper.

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:35:56.681377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:35:56.681377Z digest=sha256:90178da08b124716a384bbd9ce7c1395781c0fbdc00d3bfba518938fe97f8ee8

Observation 084b89c5-9361-4b51-9ec3-1d4683844866 · inbound

Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents cites this paper.

Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T14:11:21.916735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:21.916735Z digest=sha256:208f6f9ce146f4f6793082b41b2f794acd6ccb91db538d5a02f32826a94c138e

Observation 13060b2e-e9d1-4393-ba49-fbf1b169f3ce · inbound

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis cites this paper.

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:47:45.665777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:47:45.665777Z digest=sha256:9fc37fcedcbeb6829c5aff0ea640a598d2cc491a6fd4df57f9b5ccfb0f49ce65

Observation 16bbab3e-8ba1-44a7-ba5f-3cf01611c099 · inbound

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models cites this paper.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T10:15:24.993833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:24.993833Z digest=sha256:a31e4120dab44c415dfcdfa4de09321c95275041f7e904f4a99f1c261943cbc7

Observation 768f5210-d4f1-4931-b86a-1be30e2b4176 · inbound

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring cites this paper.

Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T04:59:44.981315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:59:44.981315Z digest=sha256:b7dd81fec03b1798be93ceb8754f80451e1c0dd27aefc72bc70da2b7376de070

Observation 963be9d2-a53b-4802-afd5-d6bd8100301d · inbound

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity cites this paper.

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T04:22:12.646263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:22:12.646263Z digest=sha256:ed6f2ad07f0fdfbd4897bb75d0f9f1c13b5333ebed950ff8c98920121773d4bc

Observation fbac07c6-dcad-4481-b053-6b47ace2a11e · inbound

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM cites this paper.

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T21:55:08.175065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:55:08.175065Z digest=sha256:3272d0b23a78dda73270066cbbcaaf80a7b9b8f856fa9fbe67a1ad000f3d56ec

Observation ceb4e2fd-a82c-40eb-94e1-4023aefda6f0 · inbound

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models cites this paper.

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T20:39:40.925251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:39:40.925251Z digest=sha256:3aee50c450449901d85773110ebe3653006eb83ba90cb10f9fc993be7ab78d8d

Observation b026bce6-a595-4184-a8b9-27a2fcb1d2cc · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.779838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:e31fa01f15038dfe65cdcc64c270e731af3e8a7455904a9ae00af698fcb1d13b

Observation fc583be9-250c-4eb4-ac13-45e96da83dfb · inbound

Automatic Database Configuration Debugging using Retrieval-Augmented Language Models cites this paper.

Automatic Database Configuration Debugging using Retrieval-Augmented Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T18:48:00.786852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:48:00.786852Z digest=sha256:cf99f3c3adbae949267069cd512a564e697bed0f55a8c7ccfed5b2092b8d60dd

Observation 9a46ad9d-a444-49d3-89f1-b237c35ee974 · inbound

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? cites this paper.

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:59.289248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:59.289248Z digest=sha256:59aafb0f25cd2d0f49bd909b100bdca8edec263fe3f87ea37982a13f33bdd78b

Observation 7078b2f3-c714-4dc7-ab3c-fc4173d2e33f · inbound

CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models cites this paper.

CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T16:36:34.700174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:36:34.700174Z digest=sha256:a7ce7d0f15d18a0870c1f60486b70ae1119c15bb4a022426d824c05e74c3e5c4

Observation 43db3b2c-26a2-4241-b9b2-527342fe886b · inbound

Let your LLM generate a few tokens and you will reduce the need for retrieval cites this paper.

Let your LLM generate a few tokens and you will reduce the need for retrieval Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:56.969668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:56.969668Z digest=sha256:b1ddcb6e4c6a020a47c7a79253bc49f1c1aa9b1eea692d556ea1bb0bb2dc00a0

Observation 26264084-ca66-4c7a-aaf3-25317166652b · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:59.438235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:59.438235Z digest=sha256:1cf781e164792bf9b3982b6aa5f2aee5f447b5541a47e378e8f05e116260cbd5

Observation fe3ccb6d-aede-43fd-9617-2d0761b822be · inbound

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs cites this paper.

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T12:24:55.213677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:24:55.213677Z digest=sha256:177e8ae5a73b033f68997841dd779e84be6833a89e64925df7c84e9c0e150490

Observation 289ee175-ea65-4301-88e0-6e27b52b1b6b · inbound

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation cites this paper.

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T11:52:03.931910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:52:03.931910Z digest=sha256:937b36a231c09cb4f0723aa83e068c9da9d7407697f9f18b83bbeeeee5b1e8f3

Observation bc78c992-2d2c-41d6-81f0-5c1c417419fb · inbound

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability cites this paper.

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T11:41:21.188424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:41:21.188424Z digest=sha256:d4278d1c87349e53fa4879a1dd56a32fc0ed2bd2e1c991cb7c7feade149da2b8

Observation c3e80bb2-0e77-4806-878e-161e8e619439 · inbound

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models cites this paper.

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:04:52.078655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:04:52.078655Z digest=sha256:5565efaa4925bde3d70636004b9530a3346e6d3ddbcd77ba45ae5c83acd15129

Observation f47846bc-0053-4ffb-b9c9-3f1a033d2813 · inbound

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering cites this paper.

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T11:24:01.140070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:24:01.140070Z digest=sha256:6b995c544e00a89d899d35ec170fa5cb7ffc294ddd92562cc320684c4e83c3c5

Observation affd8607-9707-4567-8eee-e934bac29aa4 · inbound

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling cites this paper.

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T10:26:22.295324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:26:22.295324Z digest=sha256:60cc56bb9621a3240efc5c747df860b244c8cb43a6f5e2e79570923f3be03bb2

Observation ce4ce535-e164-4ecf-84f3-564425b7d7c6 · inbound

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks cites this paper.

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T10:24:21.647269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:24:21.647269Z digest=sha256:dbd57332376bc8a779486ecbda2cebbf68f53fce9d9f89d6e1d0d6cb20b2348a

Observation 377c8aad-6702-4840-9209-a9e6d7a46031 · inbound

LLM Agent for Fire Dynamics Simulations cites this paper.

LLM Agent for Fire Dynamics Simulations Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.871819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.871819Z digest=sha256:61019f3d21a554a4c8e1d7c23c8451aed3e43eefc2b139a680a6533f6ef3daff

Observation 597939c2-61c0-4462-9757-640d40b35b71 · inbound

Molly: Making Large Language Model Agents Solve Python Problem More Logically cites this paper.

Molly: Making Large Language Model Agents Solve Python Problem More Logically Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2024

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unresolved
no resolver link, observed 2026-08-11T05:06:01.563877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:06:01.563877Z digest=sha256:0801da5edfe4549b42853778a7169c050404b312ae98f47b77548a185d08397a

Observation c5e859e9-512c-4887-aa32-02ddb337b50c · inbound

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform cites this paper.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.813047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.813047Z digest=sha256:80de1498896ed9cbf3420124aaadfcaa0c24d2bebd8765eadd6c6a33f536a867

Observation 251e22cb-717c-4116-af96-3abe2c17e996 · inbound

Citations and Trust in LLM Generated Responses cites this paper.

Citations and Trust in LLM Generated Responses Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:11.133880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:33:11.133880Z digest=sha256:e7abd153bc4fb56b11c4c72d8899df544a64a2aa8b519a9dfaaaaf8e9777036a

Observation 1455b429-290b-4542-b334-0eac908b870f · inbound

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation cites this paper.

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:53.685829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:17:53.685829Z digest=sha256:9986298d75990f447797d229a253b4cf0abe9e3a21763c347a276ec78c5117b1

Observation 0d44277c-1267-48b3-b585-415de3c52ad2 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 250

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:56.383329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:56.383329Z digest=sha256:ff98e569849f5c76995bf70ed4fe8d0e14b9b4095a56b0809b64ff817c92287b

Observation 8ff7f2ab-8d41-404a-b5d4-920c914d1ef6 · inbound

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models cites this paper.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.738450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.738450Z digest=sha256:84a26643f0be9d9b1e1258ca1e1acb5055b9d5202cd4a7e2fb0d7f284186124d

Observation efd4c399-a8bf-4696-bde5-7b32abb2b0d2 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:36:27.708116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:7fa1dbfaad23b0d0a5c7e76b127626f4a994124b9e7c87dd5893f52ccc703dfd

Observation b4b7f1d2-8c72-4664-8a3b-c8b024882649 · inbound

Parallel Key-Value Cache Fusion for Position Invariant RAG cites this paper.

Parallel Key-Value Cache Fusion for Position Invariant RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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unresolved
no resolver link, observed 2026-08-10T20:44:49.009367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:44:49.009367Z digest=sha256:1a6789e40158fb11e01201223e5c3ce0140b008687a546bc7b772fd8e14f3e4e

Observation 437f7c6b-e7f5-4870-918f-31dcc8131104 · inbound

Aligning Instruction Tuning with Pre-training cites this paper.

Aligning Instruction Tuning with Pre-training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-10T20:10:34.756450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:34.756450Z digest=sha256:2122e305db3ef7b1746c68db7f0ea5f78f4b0ef22678c6a105e01ae7af5d159b

Observation b64d802b-2876-4a38-ae61-c823d6dc7afb · inbound

Passage Segmentation of Documents for Extractive Question Answering cites this paper.

Passage Segmentation of Documents for Extractive Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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unresolved
no resolver link, observed 2026-08-10T19:35:12.204481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:35:12.204481Z digest=sha256:886542b8af8c774b513ed8408ce818df1cb5bc8a0335a23836f3df1128a967a9

Observation 92175fbd-bfe9-4eb6-a4ad-da7e1613a51a · inbound

IC-Cache: Efficient Large Language Model Serving via In-context Caching cites this paper.

IC-Cache: Efficient Large Language Model Serving via In-context Caching Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 20

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no resolver link, observed 2026-08-10T16:59:01.255587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:01.255587Z digest=sha256:47b536ae07523c81e8e0b1ba566918d19b7c8d1465d5b5e2c87cb535a6ca48a6

Observation 758e1cdd-2320-4340-9c21-2c4a819cb690 · inbound

EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering cites this paper.

EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-10T16:54:43.872404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:54:43.872404Z digest=sha256:bad4845100b160908b5294bb95650cf49f29e6642d046eff43445004b1765913

Observation 10dfd078-e45e-4791-9f84-a67c31bd0cb4 · inbound

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge cites this paper.

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:24.973165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:58:24.973165Z digest=sha256:8fef3d4a426eab599f4c0040a5fd5b71ba81dcb5ec36e6c33355f917104984f3

Observation 326a0134-f755-49e3-8d87-bb3c5d3422e4 · inbound

LLM as HPC Expert: Extending RAG Architecture for HPC Data cites this paper.

LLM as HPC Expert: Extending RAG Architecture for HPC Data Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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unresolved
no resolver link, observed 2026-08-11T19:59:20.844438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:59:20.844438Z digest=sha256:2eb5a4d555e3f495d2c56173294ebd12996339b15338fafe86bc2c20cda313c9

Observation d39edbd0-f453-4e0f-a07c-df529381f9ca · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 83

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no resolver link, observed 2026-08-10T14:46:38.459584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:46:38.459584Z digest=sha256:03f68baea22145250b1c924be1e1193a43277ea47c68d4c83d11c28e711e1b88

Observation b41f201f-df9b-4378-9169-6b90270d6609 · inbound

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering cites this paper.

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T23:31:22.532659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:31:22.532659Z digest=sha256:9fe0134ccf94d52904c2260fffdbec13c7a06111ffd88ecbbd4438ca680db699

Observation 7022a2ba-fc88-4c18-be1d-515d89c370c9 · inbound

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method cites this paper.

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T23:08:41.883536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:08:41.883536Z digest=sha256:65395fcddf2e5e75dd03298d263ddefa6bd2368d0c08ed3601f7b39b1d8205dc

Observation 3209d9c8-23b4-4d43-947f-55df09e1a46f · inbound

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models cites this paper.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.505735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.505735Z digest=sha256:dc432c382d143ccc5c5f18deabdc59910c182bf039758d20da9df715c202ecba

Observation b5e9e341-e715-49a5-84f7-ca1030b062fc · inbound

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

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unresolved
no resolver link, observed 2026-08-08T23:56:16.680666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:56:16.680666Z digest=sha256:231e6be7b5d1412b1f40342c9b5d4908b7b313b0e8f11042d94248e66ea01819

Observation 06d96226-503f-4579-8eab-c8902e0a2654 · inbound

DeepThink: Aligning Language Models with Domain-Specific User Intents cites this paper.

DeepThink: Aligning Language Models with Domain-Specific User Intents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-08T19:08:57.503395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:08:57.503395Z digest=sha256:7d79e7590bd5fbcbb5daff06de7e48445943e2ddd1ac9403ffcc5d88ec5edffd

Observation 31002728-0aec-46e8-9d1f-748eb1022ffa · inbound

On Mechanistic Circuits for Extractive Question-Answering cites this paper.

On Mechanistic Circuits for Extractive Question-Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

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no resolver link, observed 2026-08-08T11:01:28.837807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:01:28.837807Z digest=sha256:a7faae63219939dc00f6c96a4c4670dc14ac3393eebf654261d2747ccf640e72

Observation ec10fbcb-b2d5-4606-82fa-ee6e0b97f834 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

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unresolved
no resolver link, observed 2026-08-07T23:49:14.417056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.417056Z digest=sha256:690ab5bbb1cfe2dd93e20e0ca24726afaa2ece08ec867cb8ef6c29b7c5313166

Observation 43c9b744-5050-4030-a2f4-ac3b53b71ef6 · inbound

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs cites this paper.

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 15

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unresolved
no resolver link, observed 2026-08-07T22:32:35.895178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:32:35.895178Z digest=sha256:da79bd29f89ade5183c7f9aceac44e8b5025b8d50c785319f82d5ac389ad1fe1

Observation cabbdf0d-0947-4017-b776-e503322af09d · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:32:28.476895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:9df41ad17d1f8f49dd7127af6829f9b2eaf8f224e7a0c6f4397065ed4960f183

Observation 2ca4a5f7-87bb-412b-9750-0529a1747566 · inbound

A-MEM: Agentic Memory for LLM Agents cites this paper.

A-MEM: Agentic Memory for LLM Agents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.779838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T00:47:28.898112Z digest=sha256:c6cac19ded38b5eba5f6fdd32142fa511d80fb15a8f73be097354a7df0d07300

Observation 401ed315-5f31-46e7-910a-c2069bcc273a · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T01:37:22.424275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:be9b97b5310f4d780aa83ee2848b0404d3bec833fd5e635d62593aca5d7a966b

Observation 88fa301d-86c6-4e3c-970b-22bfc023c9a8 · inbound

Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption cites this paper.

Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:25:30.271000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:25:30.271000Z digest=sha256:564c15a0765d931d2ddc067fcf305a827acf5065f07170e9ccd4d4e7886c1d9c

Observation 7150a28f-b879-4e24-a816-3de40e21bf7a · inbound

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models cites this paper.

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:00:03.267731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:00:03.267731Z digest=sha256:1256feebb8e02a589c4f19c44333f3bb87c4ec34bb4c2cfeaa6e986a2fa174a8

Observation 1590e79f-c9d1-4614-8c8c-6455282373ea · inbound

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights cites this paper.

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 9

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unresolved
no resolver link, observed 2026-08-15T23:24:46.409421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:24:46.409421Z digest=sha256:1376492451e8e7336d6d5fbe7d32f058c02b2ab41533c904970885ff966a27cc

Observation 274e25ef-54ce-48b2-9cfa-dedba8afaf94 · inbound

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation cites this paper.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:09.318603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.318603Z digest=sha256:98f34fd9d1ae8ec60d78ba0433b05bdce2616a6d8272cab618e2c40bc26cc954

Observation aefb7aac-39ef-42eb-a345-e467ad2c9dbb · inbound

Neuro-Symbolic Query Compiler cites this paper.

Neuro-Symbolic Query Compiler Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2007

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unresolved
no resolver link, observed 2026-08-15T20:49:42.897147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:49:42.897147Z digest=sha256:22af4701a7837647ab9abda077a6c8ed61c31c1dc7842971489d8713adb171aa

Observation 5313074f-566e-4887-8b53-4ac77057c962 · inbound

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification cites this paper.

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-15T20:22:04.350605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:22:04.350605Z digest=sha256:abbf0bdaac0b34cc2c0d7d94a0a63aa04772b4881f0e520013d33e928e3151cc

Observation 6aadedf1-bce9-49ea-8245-6c74017f98d5 · inbound

RaDeR: Reasoning-aware Dense Retrieval Models cites this paper.

RaDeR: Reasoning-aware Dense Retrieval Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:18.838892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:18.838892Z digest=sha256:6241a574206bf83bc501a699ea8bf809d668a9efda22d36f92c9d7e6191a2db1

Observation 55011346-8306-460f-b966-3ec815e347f2 · inbound

Removal of Hallucination on Hallucination: Debate-Augmented RAG cites this paper.

Removal of Hallucination on Hallucination: Debate-Augmented RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.360474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.360474Z digest=sha256:1c2d1e3aed5bdbb0623fb59ddf6814160ec9fe24be407f6254122f3951e631ba

Observation 601b515b-1d0b-4725-ad7a-786a0b5938af · inbound

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis cites this paper.

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:52.906135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:52.906135Z digest=sha256:dad3483dd38d3669caa7ac4ecbba00395a1c5490ef6ed95638704791e221d926

Observation 48ad719a-41ae-4183-940b-6b06b6bcec88 · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

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unresolved
no resolver link, observed 2026-08-07T12:35:35.831907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:35.831907Z digest=sha256:8ea223605979e3f672b0e20c40eeb324cf796a7fb613d5e56d85ae3b4b2a1d0f

Observation 98ec4865-75da-4888-bda4-d212917377c7 · inbound

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience cites this paper.

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-07T12:01:57.167125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:57.167125Z digest=sha256:69945c24c0acda957c3fccea85fc78224baf9c09753514597b4de9e08bb6f8ba

Observation 4dc8d241-64e5-4461-b4eb-70867489828e · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:54.873706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:54.873706Z digest=sha256:d06761a7104166577516c742c6b819f80a16cce0a849415123933ec989957eb0

Observation a45a1687-cc6b-472b-a295-d96a8ab9402f · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:38.556369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:17:38.556369Z digest=sha256:1f37e7f056cd1f396fb4eadc53b8cad52052b3db24aa89cc52306ccd65ebe499

Observation 5b44bf24-70cb-4d8b-89f8-d309b5be151c · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-19T11:52:16.163138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:78b46e974065a753e3453122a39900faf95b764ce0335c599052d66404688ffc

Observation bcaa99fe-4436-4a6d-9e88-668c220cdb11 · inbound

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components cites this paper.

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 11

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unresolved
no resolver link, observed 2026-08-07T12:01:34.202311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:34.202311Z digest=sha256:91061317bed0cf0b6c5c7bd950093ba7a3ad58f34c5553ea26891b230dc3a5d2

Observation 5b137dff-aa56-4fc7-a188-4fca9c297ffa · inbound

On the Fundamental Impossibility of Hallucination Control in Large Language Models cites this paper.

On the Fundamental Impossibility of Hallucination Control in Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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unresolved
no resolver link, observed 2026-08-07T10:46:54.632860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:54.632860Z digest=sha256:68600704ae4478cb93d846b0977ffdd1a1b730a6b95ea5b6c588febd1c18fce1

Observation bf8931c0-9ddf-442f-9271-4b1c7f1279ff · inbound

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 76

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no resolver link, observed 2026-08-07T05:49:53.457193Z

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source=pdf_text observed=2026-08-07T05:49:53.457193Z digest=sha256:9f444aae0baa63bc3d33a55aed0aa24a0d504f8e592aeac78de3b88f66c30839

Observation 4167d8e6-10df-4617-86dc-740d88bc40c5 · inbound

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification cites this paper.

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 8

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source=pdf_text observed=2026-08-07T05:39:33.374821Z digest=sha256:c4c5843371e7a01958c33e43dc63ce89877cb44deee8e4d148c9f498b3d00bc8

Observation ae9872cf-6a06-4926-ba7e-ac0b42f05f4f · inbound

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation cites this paper.

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-07T05:03:06.215442Z

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source=arxiv_source observed=2026-08-07T05:03:06.215442Z digest=sha256:09c5142635ece830db0016a62e0457cfb50925e35421f82db97a45aa80743294

Observation aded1a56-d264-4f86-888c-5e3238ab93b0 · inbound

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training cites this paper.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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no resolver link, observed 2026-08-07T04:21:17.773981Z

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source=pdf_text observed=2026-08-07T04:21:17.773981Z digest=sha256:1def1192ab7f29afbe4d86cf5b7395eba363e24fc26167d6631c2dbd09c7bf8a

Observation 33f10e3c-cfd2-4aca-bd1c-c9c71f84e935 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2019

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source=pdf_text observed=2026-08-07T01:03:44.174334Z digest=sha256:fc5e9ed82d18ad99f542faf5c3a6ca68492340e3438c2c44482d8aed40ceb17e

Observation f0bfb5cf-c746-4694-91b5-0e107a15e5d5 · inbound

AviationLLM: An LLM-based Knowledge System for Aviation Training cites this paper.

AviationLLM: An LLM-based Knowledge System for Aviation Training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 19

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source=pdf_text observed=2026-08-07T00:23:41.157940Z digest=sha256:e00173faf55079a16d184a7ffc0b5b6017865b5e1690b28488249bab6f983ebf

Observation 6c3fff47-6eb1-4bca-92fa-8e76c0ad8673 · inbound

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision cites this paper.

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-07T00:15:23.354837Z

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source=arxiv_source observed=2026-08-07T00:15:23.354837Z digest=sha256:60658b996565b3acd72d852e9d9b0ed6709ab0c3c7bef17817ecb6486073cbf7

Observation 96fcc4ea-7249-48d0-9135-ca1ca25c81ce · inbound

Lessons from Training Grounded LLMs with Verifiable Rewards cites this paper.

Lessons from Training Grounded LLMs with Verifiable Rewards Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

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no resolver link, observed 2026-08-06T23:59:47.915712Z

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source=pdf_text observed=2026-08-06T23:59:47.915712Z digest=sha256:36ebb7186a9975cd2615dd3d49c3997f585bff48dd8243dcd2e62d30cc3b9af4

Observation 7f601504-2b8f-497b-ac87-fabb90d260b3 · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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no resolver link, observed 2026-08-06T23:52:41.563619Z

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source=arxiv_source observed=2026-08-06T23:52:41.563619Z digest=sha256:78ef29f5c148d7c99bd379554949df49a15ba7e1b0155238d356662ada479ec0

Observation de680752-2513-4781-9828-11dfdb327604 · inbound

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis cites this paper.

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 16

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no resolver link, observed 2026-08-15T19:08:09.303477Z

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source=pdf_text observed=2026-08-15T19:08:09.303477Z digest=sha256:6b88ddca624deb991b02009a2240158830ede51eda0a8371c569db73f7ed6eb3

Observation b02df137-4093-4e14-a4bf-7259a7925728 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 48

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source=pdf_text observed=2026-08-06T22:56:34.211230Z digest=sha256:4f5411f00ee85fc73cf150dc59294d7c5edc7f764e3b95bd3c35f5072803a5cc

Observation 11e7c17a-1617-4717-8d1b-09d804482d8c · inbound

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering cites this paper.

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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verified exact
local_arxiv, observed 2026-05-19T07:22:09.231209Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T07:21:12.441133Z digest=sha256:fa9accb954fec3c9777640f5cbdad5802d24a81447e6d1a25455e4da0069efe0

Observation cdb1f272-90d0-43c9-97a9-a8fb5cf76a3a · inbound

Small Encoders Can Rival Large Decoders in Detecting Groundedness cites this paper.

Small Encoders Can Rival Large Decoders in Detecting Groundedness Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

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no resolver link, observed 2026-08-06T22:33:27.497728Z

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source=arxiv_source observed=2026-08-06T22:33:27.497728Z digest=sha256:a8fe6f5a411b26829c4db187b457ada2187aaf9144f0595b0aebc991296e8589

Observation dabb8862-ced4-475b-9a65-bce21edb9c3f · inbound

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation cites this paper.

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

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no resolver link, observed 2026-08-06T22:31:36.095691Z

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source=pdf_text observed=2026-08-06T22:31:36.095691Z digest=sha256:543ff9a5fe2808edf7763e862f1986133928d3884b35b645b569979c9707e4c7

Observation 644fde40-4959-4b09-adbe-62aec85eb048 · inbound

Question Decomposition for Retrieval-Augmented Generation cites this paper.

Question Decomposition for Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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source=arxiv_source observed=2026-08-06T21:23:20.077195Z digest=sha256:fbac93345c139e826bdb3b7f24ad1da331132a20021fe6645ee614af30dd238b

Observation 6d5fdb7d-a2a5-4d33-8898-5524ba2610b2 · inbound

RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence cites this paper.

RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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no resolver link, observed 2026-08-06T21:57:02.183999Z

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source=arxiv_source observed=2026-08-06T21:57:02.183999Z digest=sha256:9980d9e26fa413a8d584879406d89f18d226479ee630bd12aedd46e8623f22b4

Observation 2d4dad5c-1a53-4ae1-b71f-f644dec00430 · inbound

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction cites this paper.

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

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source=arxiv_source observed=2026-08-06T20:15:51.448842Z digest=sha256:dd460a65b63db2ad69599a3e64ce224acc1c89d63990867a7036826c00c1837d

Observation ee8387a6-9a34-41e4-8bd6-f3e1d8f1ee60 · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-06T23:53:18.149916Z

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source=arxiv_source observed=2026-08-06T23:53:18.149916Z digest=sha256:239e311cb5629da84af1790269956aab24a22fa3b7438f0d964b71668bc1acc2

Observation a5c7e7ee-67ee-40e0-9bf8-5bd9875c497c · inbound

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-06T19:24:50.175682Z

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source=arxiv_source observed=2026-08-06T19:24:50.175682Z digest=sha256:eb4a86e72297632426fd285b471950d17b3800c2945001ba37e7db9be5da7a9e

Observation 27127e96-871e-462d-94db-4364bd9b75f8 · inbound

Shifting from Ranking to Set Selection for Retrieval Augmented Generation cites this paper.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2023

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no resolver link, observed 2026-08-06T18:57:33.560989Z

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source=pdf_text observed=2026-08-06T18:57:33.560989Z digest=sha256:7da024e09cbf9a0b280d660f8952a7e49985698e82076dba6f2409b98554bd38

Observation 64acea50-6863-4561-8828-bce153fa84bb · inbound

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations cites this paper.

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 6

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no resolver link, observed 2026-08-06T18:53:25.908940Z

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source=arxiv_source observed=2026-08-06T18:53:25.908940Z digest=sha256:a67888fd836cbe57235a6d38475f53113726236c905a19db258547d770849a80

Observation b87430a6-cb13-4a6b-9120-ec069c0814a5 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

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no resolver link, observed 2026-08-06T18:08:30.058341Z

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source=pdf_text observed=2026-08-06T18:08:30.058341Z digest=sha256:3103fcd1ca30590497ef8a5cc3adcd26bd0f8c9ba7ff862db6378ba962d326c6

Observation 27eea1dc-3869-4297-84d2-5961f4532c1b · inbound

LLM-Based Config Synthesis requires Disambiguation cites this paper.

LLM-Based Config Synthesis requires Disambiguation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-06T16:51:51.857858Z

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source=pdf_text observed=2026-08-06T16:51:51.857858Z digest=sha256:cfc60354963440ac2c7f86d74bbecdd67b57a1a694a4a085cb9cd9c33ec2a75a

Observation 8d3b5034-34da-4f7f-b9fa-19be62bcfa71 · inbound

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions cites this paper.

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 5

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no resolver link, observed 2026-08-15T18:08:11.542222Z

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source=pdf_text observed=2026-08-15T18:08:11.542222Z digest=sha256:1b38fdf89c0777e363e46369708bfb6133705e85a179c790244aa3c8ee6e8a02

Observation 0a156c5d-56af-48e6-945c-e4d6bedb430d · inbound

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models cites this paper.

Structured Relevance Assessment for Robust Retrieval-Augmented Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 8

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no resolver link, observed 2026-08-06T13:00:16.364856Z

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source=arxiv_source observed=2026-08-06T13:00:16.364856Z digest=sha256:87538de95feda86fce58bba78e9fcfba4d8779e68351493c2d4204fdd7de3fc0

Observation c8322530-8e3d-4257-83e4-b5fc32fffa71 · inbound

What Deserves Memory: Adaptive Memory Distillation for LLM Agents cites this paper.

What Deserves Memory: Adaptive Memory Distillation for LLM Agents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 14

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verified exact
local_arxiv, observed 2026-05-19T01:11:57.135750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T01:10:47.164918Z digest=sha256:3323932a14fd545494507b00b4c66e07edc3fb285434938c2d5832ab4f8c3f40