Pith. sign in

Paper Citation Record · LEDGER

Rethinking with Retrieval: Faithful Large Language Model Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2301.00303.

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

pith.paper-citation-record.v1
2301.00303 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:59:59.186800Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

47
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 624b639f-e7d5-49da-a9ec-e4076721a032 · 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 Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.593034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:939db3e90836d8480c989d5c871695b68c1447e156847c9f3b7d229e907bcb78

Observation 9f41a38a-d3fe-4614-8b33-c737165cd0eb · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T21:59:59.186800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:59:59.186800Z digest=sha256:629bd07da8fe59799772d85059de4d51fdf28622517c09cb18357e7b9679c12e

Observation 35e1c6ae-f86d-4ab0-add9-ce9c632b1960 · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:14.858856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:14.858856Z digest=sha256:3da16a8e5ef721ab4c98933142c8694f1f2303282c8e962256b4246d98e5fa20

Observation a6f8e021-66f6-4ce1-ad52-d60167946a12 · 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 Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:53.569078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:53.569078Z digest=sha256:eb85dadc5f851cd5dcc188bad70b67c0e60d6c6887af45949b203289a3a50b63

Observation a95ec3db-d878-4ca1-a02a-039f4e6db1cb · inbound

TeroSeek: An AI-Powered Knowledge Base and Retrieval Generation Platform for Terpenoid Research cites this paper.

TeroSeek: An AI-Powered Knowledge Base and Retrieval Generation Platform for Terpenoid Research Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:16.372879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:16.372879Z digest=sha256:3965fa3718336a1323b7b4d40aab1aba45d7cbb970595049b519573287a3b289

Observation e7b12ee1-6165-415f-8cdc-0d4487f8c030 · inbound

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models cites this paper.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:42:09.109591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:39:55.633854Z digest=sha256:6d852f4c06065976ea6dc2a6245909937b1adf9a3f53dc73a9fbbd95d155824b

Observation ba51a9d9-a55d-4a77-8a52-96181e41fcf1 · inbound

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers cites this paper.

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:28:55.805875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:28:55.805875Z digest=sha256:e6eeb82339056e2d50ae9babd431e15e512788ac1b39703951a789854faf3422

Observation 9ced33e2-7b96-4b2b-ae17-c40328ef2a17 · inbound

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law cites this paper.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:19.145574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:19.145574Z digest=sha256:fcad89f9befdf42d703662fd9de8c943d2a51365fc4ff044d6fedc8a3a49d3fa

Observation ec85c05e-d8b4-4342-a533-5c4df4dab4ef · inbound

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities cites this paper.

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-04T19:59:17.396521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:59:17.396521Z digest=sha256:a8df2398f725b63edef18e843d5e580e467d5d639e6b68d9b68cf724ee7ec14c

Observation 4d94044d-f034-4ed1-bcdd-6c820e018f7d · inbound

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection cites this paper.

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:29.339359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:24:42.346112Z digest=sha256:38a5a69089a607f708a84f5fdab5dc7095fb74c9b9235f9ac87f249c881e9ff8

Observation e7b9bdcc-6400-4756-82f7-bc6954d1b826 · inbound

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG cites this paper.

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:13:13.792309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:10:41.883261Z digest=sha256:bf6bb499217ff6f1dc7fb9363fef002e64c9f57e769861ff04c65fa6fcd2aed7

Observation 54b6b163-a749-41fe-a61e-17836c1cbb81 · inbound

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation cites this paper.

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:46.196321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:50:54.141406Z digest=sha256:c941bcb21c303bcc9b1b8298886bcd3aa7bb2320ea137047523c9e9e1f67d82b

Observation eee309a1-ef55-45ab-b39f-6a67ea05cd46 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-09T20:37:32.034069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T20:32:37.788283Z digest=sha256:c64cd18e7a9b85c50ea9c5ff4dd3cd6e4dce0a58b0c9de0ae88e66f04d406e8e

Observation e2356b19-5f1b-4ce9-b6dd-79bad14b7ace · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:18.189605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:10:22.314719Z digest=sha256:d4a600bb5c0099249f9d6e159674dcb63ee161b95bca6c44fcecb5067246889e

Observation f35ec7c5-4b03-4136-acd1-6dc09ed81808 · inbound

NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning cites this paper.

NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:32.905913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T06:55:20.216367Z digest=sha256:27a4cab73717415ac7af42fc087d799ab4b1d90344f54bb03e813caa7211b61a