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Paper Citation Record · LEDGER

DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.08700.

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

pith.paper-citation-record.v1
2404.08700 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:44.302060Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:35.421654Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 934e8c4b-c2f3-4623-8984-68a6ffaed360 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T21:54:44.302060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.302060Z digest=sha256:33fe9a10847b40c802d427fcd6dbab0053d9db95279cdd2a3a270528178fbe5b

Observation 6df4cc08-bf59-44a3-93c3-ea656519f5be · inbound

EvoWiki: Evaluating LLMs on Evolving Knowledge cites this paper.

EvoWiki: Evaluating LLMs on Evolving Knowledge DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:20.180358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:04:20.180358Z digest=sha256:5494e4d5b0b117f03441ab9293537d45ff1df74e4b57a8b2c452d8f5f1186d63

Observation 1a1a5417-f920-44b1-82f0-685119d72ab2 · inbound

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge cites this paper.

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T12:58:02.128103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:58:02.128103Z digest=sha256:f6ca997b87392950fb52136516838a000a1898b2e313047cf0f6cb2f679e3d7c

Observation 5484146a-643a-449c-898a-9a95aadc7e39 · inbound

ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models cites this paper.

ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T18:16:25.633276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:16:25.633276Z digest=sha256:4bb1003c90e42c619c873102d83130beaf1565af3b75c8e40df7758280ca4d87

Observation be790276-9984-4c5e-a405-1fd2c5d3d42f · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T05:33:52.418936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:33:52.418936Z digest=sha256:551c005712eef76060011f08868d654d168276a8d99a8bdb72ae6f79512e82a8

Observation 02f74949-ed50-4efe-824d-4ee66f82934a · inbound

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons cites this paper.

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T10:26:06.935195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:26:06.935195Z digest=sha256:4605456ccaf0442c8461e4b894fb6421f75c189bc0a6386d4f1f0c23b91abf15

Observation a844730f-86c4-44fe-8bd2-55eef7b1ff45 · inbound

Benchmarking and Rethinking Knowledge Editing for Large Language Models cites this paper.

Benchmarking and Rethinking Knowledge Editing for Large Language Models DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:40.500604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:40.500604Z digest=sha256:6e8634884c7507d907ffbf294eaf4fa800579d9401c4889f1123bef363732e6d

Observation bad1124d-4341-4786-8521-dc5a96c47fb9 · inbound

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation cites this paper.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:07.804567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:07.804567Z digest=sha256:8d508596ae1cf3c51d6052082032be2bb2b1b848da8e9ef733b69b1b16010352

Observation 14ae3def-fcc8-41f0-9974-46bd90d6ab1e · inbound

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs cites this paper.

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T14:39:38.895159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:39:38.895159Z digest=sha256:c468bbedfbddbab27ec999eb672c05226bfb8ccc41f042a6ec0e8ab3bc75e903

Observation 7bc4f582-880b-4f5c-b834-d4a580b6bdf6 · inbound

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge cites this paper.

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:26:25.059393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-18T13:23:30.218806Z digest=sha256:fb91d0ecddf74a8058db49c096ef35c71c6609ca21353004720fbfc88e910cc5

Observation 1d9af3c5-9182-4d12-8027-c8c5824da048 · inbound

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation cites this paper.

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T09:50:48.258982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:48.258982Z digest=sha256:a230928471a9707e2b0698df206592b09779f6da1092d917fbf0f822847b77af

Observation c3917399-4ab4-4c9c-83eb-b732622fd544 · inbound

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation cites this paper.

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:02:25.191211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T07:59:40.497067Z digest=sha256:99b41bb89605f10b9ad02dd3cf1eaaf003167b7283e17a0a63d910da8838131d

Observation 6a23cdac-4ef3-414f-bee5-6f04c5a89861 · inbound

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence cites this paper.

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:32:35.423401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T19:03:00.055800Z digest=sha256:08c352703b677ac5887ed3fed8ec29f74b60bbe86f541740f63a5cf0a314dd07