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Paper Citation Record · LEDGER

Retrieval from Within: An Intrinsic Capability of Attention-Based Models

As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2605.05806.

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

pith.paper-citation-record.v1
2605.05806 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:03:11.473175Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:06:12.520158Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:59:57.861293Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact21
  • verified fuzzy14
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4bfbe02-b340-495a-950b-679d47efad25 · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.506199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:6d09aca7969ed81bd55b47641194f6395948324fa5970eddc452b04db6589bf3

Observation 28ed67c2-537f-49db-be7c-3b6a396e7a70 · outbound

This paper cites Titans: Learning to memorize at test time.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Titans: Learning to memorize at test time

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.501453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:30f1ce64e00dad3f5d5ad5644dca0c593b7337cf83ce7ef0c6c802e6b386dac5

Observation a686867e-125a-4f35-80b1-fc2b2a084664 · outbound

This paper cites Longformer: The Long-Document Transformer.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Longformer: The Long-Document Transformer

Reference 3

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metadata mismatch
local_arxiv, observed 2026-05-11T04:50:55.388246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:dbf324a752703d08f375f4799ec5d5bb9720d98a71f2e2b3c878404ac5bd6b98

Observation e332b3fa-e52a-45d3-abad-2d381a4212fb · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Improving language models by retrieving from trillions of tokens

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.548038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:ba2febbd9d3a5e9d28ee4b2c586ad1c2e28d968a6779830a8787194f0427b559

Observation c6d32a88-3828-4e33-8af3-a9445f3b4e4a · outbound

This paper cites Rethinking Attention with Performers.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Rethinking Attention with Performers

Reference 5

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verified exact
arxiv_id, observed 2026-05-12T09:16:14.972905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:a639f56bdda752be2849744686569e516cc749f6c0591d1b1d55f141ddae6834

Observation 11c53020-85bf-4b46-a559-e7a8609cf5f0 · outbound

This paper cites A., and Buettcher, Stefan.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models A., and Buettcher, Stefan

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:05:50.534657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:98a109ac970398db4aa7754bb79145550d4ea3ab729ace1d368cdfb280703b89

Observation 5fea172b-6a7d-48af-b5c1-4f34406a11b6 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.552731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:0df41d46c2ea2becf6e956f70f786dd24850939fd79fbc4bdddb2c15ae505e1d

Observation be0459ac-9117-400c-87f2-9aba10caf352 · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models ColPali: Efficient Document Retrieval with Vision Language Models

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T02:35:41.289440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:fd304704eb008c935c7fe98723d5a9d00ce4b08d8c7e791764b8d4a9fa261105

Observation 6b7310fa-723f-45fd-80e8-3c8eb5f93d33 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:50:55.459821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:e0156cf07063200e8cad79f679363097e30b6477a5d64184d889b3a5fe06001a

Observation fbc9fe70-08d1-4d92-97b6-2f5a44b89c72 · outbound

This paper cites REALM: retrieval-augmented language model pre-training.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models REALM: retrieval-augmented language model pre-training

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.535655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:dccefa3684bfe9bf2b57aa442accae99d7c6257ad952526e4aa67961ae6338f1

Observation 2e454d15-18e4-4455-8958-be776196fa37 · outbound

This paper cites CLaRa: Bridging retrieval and generation with continuous latent reasoning.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models CLaRa: Bridging retrieval and generation with continuous latent reasoning

Reference 11

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metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.356288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:fd0cabc91c417ab5b855f561e56adebecba4caf48393b80ec8e569523f7a7c99

Observation d318eeac-0d60-4a08-8d41-7cd4840a9b3c · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 12

Resolution
verified exact
doi, observed 2026-05-11T01:05:50.544167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:80fa6a28f26b0843da403d0cdff78888cd5822a69d38714be75fce045fbe63c0

Observation e58bc76a-1fde-4305-9dcd-0113f18b7c6f · outbound

This paper cites Atlas: Few-shot learning with retrieval augmented language models.Journal of Machine Learning Research, 24(251): 1–43.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Atlas: Few-shot learning with retrieval augmented language models.Journal of Machine Learning Research, 24(251): 1–43

Reference 13

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raw_fallback, observed 2026-05-16T00:26:59.525474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:19427de813e2b6e7fec5b757d1cac45819c1f2343a697d9d878112d8091a0b65

Observation 1ba85048-8a49-4bd1-86f5-dff31475bda1 · outbound

This paper cites Jina reranker v2 base multilingual.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Jina reranker v2 base multilingual

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.520962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:f81e5fa7f2b535a816edfc85af5ae9fbf8f828e15bda3eac834a9ea852c8428d

Observation 668a2b59-45be-40f9-98c5-61a5231ce894 · outbound

This paper cites Johnson, M.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Johnson, M

Reference 15

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arxiv_id, observed 2026-05-11T01:05:50.548648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:6c356236e9f838072acdc00207efea74732e2e18b4037580d874a06b0476508f

Observation 65f53227-2024-4adc-a7ac-b772b580db98 · outbound

This paper cites Ellie Pavlick and Tom Kwiatkowski.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Ellie Pavlick and Tom Kwiatkowski

Reference 16

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metadata mismatch
doi, observed 2026-05-11T01:05:50.564921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:08ee3df17d6d3547cd0d373fece9366eb9fe514af9f41f5a70361f96b64f984e

Observation 2d816f37-efa7-404c-a93f-0281000c4b3c · outbound

This paper cites Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T04:50:55.309782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:756aac1dd4193f7a4874b755ecc3728937b26e4e8a16dc737d22bd10ddbc02a1

Observation faf184fa-ef9a-4ca7-94ca-6cef3f8d73d5 · outbound

This paper cites 2020 , isbn =.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models 2020 , isbn =

Reference 18

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arxiv_id, observed 2026-05-11T01:05:50.573645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:7f59b2825aba528a764e46a3ffe2cf4c9c2256c9677ca6d1a989fab1a06f825a

Observation 850e27b4-612e-4941-a75e-352b36038a4f · outbound

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

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 19

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verified exact
doi, observed 2026-05-11T01:05:50.568768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:c9855155806fc86dc5aa1ea1f7ca1edf76ceb26f310a1e360521b96da1218a2f

Observation f1b4a6a7-6d5e-4cd1-b8ab-7bc4b67401e7 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 20

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.543667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:0700b3d50109f29aa32ba154b828cab850e1b8383d0d245888168c06de677f0e

Observation 28aec322-5e4f-41c3-8e4e-07aa1434af86 · outbound

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

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 21

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arxiv_id, observed 2026-05-13T17:36:27.820666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:6f62cd54907ddcb8816d2d153107ee6d0ec550befb7e270bc5fab0755d7f4b4e

Observation 0be62736-bbf1-4de5-bc2a-6ac6210e7e0f · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Jamba: A Hybrid Transformer-Mamba Language Model

Reference 22

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verified exact
arxiv_id, observed 2026-05-13T14:11:27.316872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:61cca4b4803bcff3ffa09be0befa01968144eff60eeee51831df80cb4f720d70

Observation a508ebe3-0608-4d94-8156-0476bfacc6c2 · outbound

This paper cites RA- DIT: Retrieval-augmented dual instruction tuning.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models RA- DIT: Retrieval-augmented dual instruction tuning

Reference 23

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raw_fallback, observed 2026-05-16T00:26:59.532079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:1776b66185bd907bd47787ad233fda3a7178c255dc6ee08549cda9c933842648

Observation eea11f69-7032-4e69-a4f3-53fd3763f342 · outbound

This paper cites NoLiMa: Long-Context Evaluation Beyond Literal Matching.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models NoLiMa: Long-Context Evaluation Beyond Literal Matching

Reference 24

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verified exact
arxiv_id, observed 2026-05-11T04:50:55.374291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:67ca5e6c73644c452d98e21a8cf4c619ed27674d0570e2072f6abb65b5211fe4

Observation 23ee254b-8737-4779-889c-9a436d708af5 · outbound

This paper cites Hyena Hierarchy: Towards Larger Convolutional Language Models.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Hyena Hierarchy: Towards Larger Convolutional Language Models

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T04:50:55.346875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:f10a206f12fb39e81b134eb6a68f1a23efe95e675036d327ac8f8f309aa8d14e

Observation eee30809-b2e8-499d-9521-e02622491a25 · outbound

This paper cites TorchTitan.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models TorchTitan

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.510085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:494796c071a12fa4fbec24ab00d5f76dd3173765d90fad30f1f66af3bb0e897b

Observation 7b8fc8b3-05ce-433d-8d4e-2e7ffbed05af · outbound

This paper cites URL https: //github.com/rapidsai/cuvs.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models URL https: //github.com/rapidsai/cuvs

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.513563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:55db06c3e97e728e22ce97c3890cd210d8608b68c1ca2f78ceb0cb089974517f

Observation 15c181da-4cbb-4efb-9bf3-59df0bac432a · outbound

This paper cites Robertson and Hugo Zaragoza , title =.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Robertson and Hugo Zaragoza , title =

Reference 28

Resolution
metadata mismatch
doi, observed 2026-05-11T01:05:50.538573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:ea9d1357c24887fcec3f702e72b57fbc6b748e79949c37023f15b66a67a7b31a

Observation c033356b-cd22-47fa-b1bc-0bc97122a13a · outbound

This paper cites Term-weighting approaches in automatic text retrieval.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Term-weighting approaches in automatic text retrieval

Reference 29

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verified exact
doi, observed 2026-05-11T01:05:50.551525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:4fda99bf3f520784327e5b1bbdbbb7f9a9f4580f71597c9f1735d75f09fe1bd7

Observation 4744744a-68a6-4973-8905-33ae90f05e66 · outbound

This paper cites C ol BERT v2: Effective and Efficient Retrieval via Lightweight Late Interaction.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models C ol BERT v2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 30

Resolution
verified exact
doi, observed 2026-05-11T01:05:50.555060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:fbdcb55ecf165a0f3bcc09d1f818fb8200b67ce4cc38d2e2b81ab40851f4a1cd

Observation 37c2b938-758d-498a-97d3-c6868ed31751 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:26:34.894571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:88cfe1dbcc63e7fab53c9906bc591f6a72ae021d75bdd9998c57ba4b8c6fbcc8

Observation 23720e9e-b2f9-451e-83a7-d50a2cd0c8ce · outbound

This paper cites End-to-end mem- ory networks.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models End-to-end mem- ory networks

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.516919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:40b407b44c1ec63bfc963b5aa3cf345509190e402322f347e7fab18265242bf3

Observation b9199322-0beb-4831-9556-5bcca7392cb7 · outbound

This paper cites BGE training dataset (only retrieval datasets).

Retrieval from Within: An Intrinsic Capability of Attention-Based Models BGE training dataset (only retrieval datasets)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.528779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:780458b68d3c3b343c22ebd663094cc8b8ff7e1149b33758d938a7d8a19c3fd8

Observation 507051c7-43ff-488b-83c1-903dd0099938 · outbound

This paper cites ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models ♫ M u S i Q ue: Multihop Questions via Single-hop Question Composition

Reference 34

Resolution
verified exact
doi, observed 2026-05-11T01:05:50.558301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e6292157-edc9-4940-a8a4-6d4af12772f3 · outbound

This paper cites Attention is all you need.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Attention is all you need

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.539212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:c75fc548d19e476db5127684e32f96de859801cd2490caeb377dd38580718862

Observation a5d1b268-3038-4f39-991c-4112ac55ee2f · outbound

This paper cites InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.333416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:4a5b6b281d68055164009c9de1cd652073a2d58d61057bb2f1e9d0005a381311

Observation 14d0a272-f7d5-471d-b5ea-e1f248ed1b5b · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models C-Pack: Packed Resources For General Chinese Embeddings

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.287464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:0266fa60fdbb433319920e365096d546cdb131a6d9726834556df7e705d7ad3c

Observation 466c52e5-e8f9-40d4-aebe-8efdbfad6070 · outbound

This paper cites Cohen and Ruslan Salakhutdinov and Christopher D.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Cohen and Ruslan Salakhutdinov and Christopher D

Reference 38

Resolution
verified exact
doi, observed 2026-05-11T01:05:50.561589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:259b836a7f9c5ad4d2c70b43b107aaff257d807e47bec049aeb69230c019d8c7

Observation 7af95d44-3ce3-4012-8499-0b6c340a8bb8 · outbound

This paper cites HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.410903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:2548df96a12397fc44698320291e29ab11ea45aecfa763c6a926202128e36ab1

Observation a6900850-9675-442f-ab36-ea98d206ed44 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Big Bird: Transformers for Longer Sequences

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:54:01.139247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:2f5b3ea2d3bdcd6eeec77944935dbfadd514ed803df4ba8805fc1027c40a8111

Observation f786936f-e0da-41ea-b0d7-69a6701b28b6 · outbound

This paper cites T5gemma 2: Seeing, reading, and understanding longer.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models T5gemma 2: Seeing, reading, and understanding longer

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.486176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:b0ed8d56b000461cea52d96474dde35958e5354dddfe4802aee790d1aa156068

Observation c953e6fe-d23c-4122-8c23-c3a9307d9f73 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Retrieval from Within: An Intrinsic Capability of Attention-Based Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 42

Resolution
malformed identifier
local_arxiv, observed 2026-05-11T04:50:55.493260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:11.473175Z digest=sha256:c1dd1264106ce7f1ec4c3e823cdc5e705c5a1f9a0eccad2af511463a250a8888

Pith citing papers

Observation 7e451af0-365a-4e1e-b8d1-814f12347072 · inbound

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image cites this paper.

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image Retrieval from Within: An Intrinsic Capability of Attention-Based Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-12T05:51:24.958027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:53:40.505699Z digest=sha256:1b2309e3990b4866d363b3ea9fa95bbf2b6467d24ce64d0e96a9ed3a1a32ef29

Observation 6e2559b2-8fa6-4c05-936b-8627786f5812 · inbound

DREAM: Dense Retrieval Embeddings via Autoregressive Modeling cites this paper.

DREAM: Dense Retrieval Embeddings via Autoregressive Modeling Retrieval from Within: An Intrinsic Capability of Attention-Based Models

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:59:57.862864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T00:06:12.520158Z digest=sha256:095a55bea904290d832e4519645acb2eb8763f4fe52d77cdd1bcf12df7df2c73