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Paper Citation Record · LEDGER

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2501.05030.

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

pith.paper-citation-record.v1
2501.05030 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:25:40.917219Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:44:04.660922Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:44:05.075522Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08e2c8bb-1359-496d-b0b5-07bfadb53ba1 · outbound

This paper cites Case-based reasoning: Foundational issues, methodological variations, and system approaches.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Case-based reasoning: Foundational issues, methodological variations, and system approaches

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.835574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.741540Z digest=sha256:4047348565d17fa3b1489c7b3e9d838b5d0913198aa506dd9b330ddde9e4bedb

Observation 17c5a870-628f-4a7d-8711-3b09eb9ca1c9 · outbound

This paper cites Case-based decision theory.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Case-based decision theory

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.809948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.748600Z digest=sha256:0d5e8a2efbcdd1750541557120145342e354cf51e060ab837916fb8351baaa90

Observation 8d8972da-2c7d-4c5e-ab42-824a4f21a883 · outbound

This paper cites Cbr-rag: Case-based reasoning for retrieval augmented generation in llms for legal question answering.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Cbr-rag: Case-based reasoning for retrieval augmented generation in llms for legal question answering

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.786422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.753813Z digest=sha256:78552f91d68d863482262e4f269f5c3d0973c7cb6c9686547ce2d1b9f6671654

Observation 7742b825-f4ca-44f3-a3e3-b88fbf53fefa · outbound

This paper cites CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:40.759439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.759439Z digest=sha256:aca9c570c8f82a6ad561ada81fcbfcf9aa15406d2f85bcc05b70db6eecd85ada

Observation 6f2ef663-64c3-4c65-a929-2fe7e2e3f603 · outbound

This paper cites Ds-agent: Automated data sci- ence by empowering large language models with case-based reasoning.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Ds-agent: Automated data sci- ence by empowering large language models with case-based reasoning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.764701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.765048Z digest=sha256:728fa66221d73d0ce7d2e08f2a1a11130d33db7605cdde7784492d5295545946

Observation 6152646a-6400-4281-8272-5d32cba9f0bc · outbound

This paper cites Case-based reasoning with language models for classification of logical fallacies.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Case-based reasoning with language models for classification of logical fallacies

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.746387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.772018Z digest=sha256:e46396747d4e536485790a7634cdad252c724dc3f6113dbc7f3664501deca459

Observation 849603c3-de32-4e42-b83e-c213fcc54dde · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.723939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.777430Z digest=sha256:435f182fc0679b52b184001fb62705f687647ac1d5930364f2d32006986a189c

Observation af141c39-8354-4d9d-9832-7aa03bed67c0 · outbound

This paper cites Language models are unsupervised multitask learners.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Language models are unsupervised multitask learners

Reference 8

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no resolver link, observed 2026-08-10T21:25:40.782204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.782204Z digest=sha256:348ae406320653253dcc19a24f99ef3535d9c0da8caff10d777013b173456c8d

Observation 9c12b2d7-0ac0-4e97-88ba-d04746e9728b · outbound

This paper cites Case-based reasoning for medical knowledge-based systems.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Case-based reasoning for medical knowledge-based systems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.685362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.786749Z digest=sha256:b81539d32a7fadfb008ab7c07782b1515e1e03a6aa23a038736366e0960e8787

Observation c6357763-7baa-4635-bf2b-d19ecbaeb83a · outbound

This paper cites The ikbals project: Multimodal reasoning in legal knowledge-based systems.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications The ikbals project: Multimodal reasoning in legal knowledge-based systems

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.662590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.791643Z digest=sha256:dd697106eeecedd1ba0f137f1586203820bfd459afcce6c76562368aeea34028

Observation 826c04c3-be30-4488-bf32-8bea366b018d · outbound

This paper cites Multi-modal diagnosis combining case-based and model- based reasoning: a formal and experimental analysis.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Multi-modal diagnosis combining case-based and model- based reasoning: a formal and experimental analysis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.638421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.796420Z digest=sha256:6003799542cd78c1db050e9c72995569f76e2a1dda893cf558de8e714ef1eb8a

Observation 5e8ae06e-0d89-402b-beb1-985009c0b370 · outbound

This paper cites Retrieval-augmented multimodal language modeling.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Retrieval-augmented multimodal language modeling

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.610794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.801516Z digest=sha256:3b292e0679209e53ed14c78f1edf8165356faafa5b1c65101328777c1f0bc7ca

Observation 87a0c894-7d7c-4d2c-b37c-3d3faea644cf · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.590277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.806478Z digest=sha256:ede566e401e073809a6d314bd52cbefd5e51b10dbcca05686ca4635d4ba8b9a0

Observation d3ae1ddd-21d6-4a68-8b01-fbb54075fec2 · outbound

This paper cites RECAP: Retrieval-Augmented Audio Captioning.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications RECAP: Retrieval-Augmented Audio Captioning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:40.811046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.811046Z digest=sha256:e974f0d5a828681439e224888fe9183f6637153628125af810e6ef7b577c3bba

Observation f6c9d663-11ef-4910-b495-23f42cedd7a1 · outbound

This paper cites Retrieval-augmented egocentric video captioning.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Retrieval-augmented egocentric video captioning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.570314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.816501Z digest=sha256:6d06bc2917150b0920cca8ac56d5719b906047957d51fb68212531bda0744057

Observation 3522ca8f-09c6-4970-88ef-cd899446d214 · outbound

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

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.552075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.821713Z digest=sha256:22212154a9d72a9d3feb082a3a7c5cd7d2eb7c5d72b21d18d3bc7a34159625b6

Observation 866d1e4e-21a9-4cf4-aa56-dced1db7803b · outbound

This paper cites Archived from the original on 2022-03-30.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Archived from the original on 2022-03-30

Reference 17

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no resolver link, observed 2026-08-10T21:25:40.826615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.826615Z digest=sha256:2015de9c9bb14a5c8097499caa78b7854278cfd553a7919699b80713ccb53f46

Observation c46da86f-dbea-496e-b02c-bfdfabc00388 · outbound

This paper cites Backgammon.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Backgammon

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.532226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.831831Z digest=sha256:406f3fd43326c95f014ff48b065d2ff2d91a25efc14d7dfa30b8e39f2aabafc4

Observation 226e0740-748d-4beb-818c-b4bf845685d5 · outbound

This paper cites 501 Essential Backgammon Problems.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications 501 Essential Backgammon Problems

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.506972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.840246Z digest=sha256:2058c96eb8f5b79903731603dee705bec2d0334def1f22e04af4eebc6cc79f7a

Observation c5fc3320-9886-4ed3-b26e-11d87f570807 · outbound

This paper cites Backgammon Bootcamp.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Backgammon Bootcamp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.486678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.845758Z digest=sha256:b06340decb75c638c748bf8b7107c43eb778d1bf297ed3ce7f5105f0c26de2b9

Observation 041232e6-ef86-41ec-9dd4-da6a507e7a3b · outbound

This paper cites Temporal difference learning and td-gammon.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Temporal difference learning and td-gammon

Reference 21

Resolution
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no resolver link, observed 2026-08-10T21:25:40.856234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.856234Z digest=sha256:6aebec7047f7a5e6898fc11efec7b296af7dc9a2f49605c731baa32a9fa7c7ac

Observation cbd97578-cf71-4b27-90aa-3b643762412b · outbound

This paper cites Accessed: 2024-10- 05.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Accessed: 2024-10- 05

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.445633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.862074Z digest=sha256:659beba030bfb9b2aa81336c68a82eff9ce386ddbe8eb2bed72ba2b003b03eaa

Observation 92ecd283-446a-4014-808c-58bc9d701d0a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications LLaMA: Open and Efficient Foundation Language Models

Reference 23

Resolution
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no resolver link, observed 2026-08-10T21:25:40.871279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.871279Z digest=sha256:56abb846c5d165c91314e04ca225b04d26277caa2540676918e3d2181b552cb3

Observation 8f2d6468-5c11-4d2f-9e8a-262f77fdf60e · outbound

This paper cites Qwen Technical Report.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Qwen Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:40.878610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.878610Z digest=sha256:cfbc8408c20abe2028da93cd1377b0d28e8a4251e5bcf9f39dcbe475988dde6b

Observation d92fe9f6-9bb6-4bf9-97ab-7fbc4de3799a · outbound

This paper cites Mixtral of Experts.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Mixtral of Experts

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:40.885533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.885533Z digest=sha256:329b5c6568b91aee25c37bd32f9831ae380483f40d69c87a5c350f64b6ec7c62

Observation a2e4fae6-25e0-4dd3-824e-8dd14145aa71 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Dense passage retrieval for open-domain question answering

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.428131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.893191Z digest=sha256:f81b6336de85f4831e937d4afb47ad998998887b1f6f945a3ed11542fae9b983

Observation 02809d4d-e803-427a-ab43-e12897b97dce · outbound

This paper cites Weinberger, and Yoav Artzi.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Weinberger, and Yoav Artzi

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.410690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.899448Z digest=sha256:7631b749a9347da330178b69f3971554f568c5cc8ff3ae1ef8e2bf0c05143380

Observation c18ba612-74ad-4931-ab6c-ebd31a85fc8e · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Mpnet: Masked and permuted pre-training for language understanding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.392567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.904758Z digest=sha256:5eac04aacbe7a9b147d952fba1935a340c18d6a42cff59407e2f5042cbbd4590

Observation 82e31f76-643c-4c21-af93-59449a9ece43 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:40.910907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:40.910907Z digest=sha256:3ce947145437dc1b650cdb3b62196adcf160932bd1abe161b0260f45d5f0010e

Observation 443a429b-f9d9-48b7-8c1a-0bcd8469e00a · outbound

This paper cites Final Answer: [LHS] = 24.

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications Final Answer: [LHS] = 24

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:25:41.370306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T21:25:40.917219Z digest=sha256:9a8894fefd30562c171bad7837326928fde62c4dbda5cda4bb7c754e92ff39d1

Pith citing papers

Observation e9b72f9b-a344-4ac7-905e-34ca5660ef2d · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:44:05.142608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:44:04.660922Z digest=sha256:bf0ce91f91418162e7121d16e9ca0610d27ed31bda9ab2068c962042d5b72afd