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Paper Citation Record · LEDGER

ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.10198.

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

pith.paper-citation-record.v1
2404.10198 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 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:33.323727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.100926Z

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 7668e47d-3839-4d48-8846-ffee944c9e48 · inbound

ECoRAG: Evidentiality-guided Compression for Long Context RAG cites this paper.

ECoRAG: Evidentiality-guided Compression for Long Context RAG ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:33.323727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:30:33.323727Z digest=sha256:39a7e02a65037ca9c565b4c5214edf6506dcafa70cbc78c36853d753f3fe7375

Observation 466429bb-5d8b-47e4-ab7a-90ee3dd8ac48 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 193

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:55.183547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:55.183547Z digest=sha256:a656128463bf7196efda2b33cb7a52d7cb8f89c2a245e619125246aaa488b0cd

Observation 0b060272-c084-446e-b192-9712ed71c677 · inbound

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence cites this paper.

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T12:11:34.268788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:11:34.268788Z digest=sha256:1c22af5f1630329e2ca8c594a91744d71cf51ecd41dc4892184bbbd2b68ca971

Observation 14143efc-35e6-44ef-a564-35a3f2b77a4a · inbound

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification cites this paper.

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T22:55:16.868259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:55:16.868259Z digest=sha256:3f0cdc7027f5ba264da09f7888b9c41d741fbe6d8fe8ca6661ae9304e218e2c6

Observation fee3ea08-3205-4200-a5ff-ba3587a88225 · inbound

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models cites this paper.

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:26.627449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:40:54.825257Z digest=sha256:10d9d02face7f52ea164a80e9c87c0cbf26663599ad55614b80572b0a9416725

Observation be832624-ac75-466c-8f3f-0d02c5b028b8 · inbound

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict cites this paper.

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:03:28.762905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:03:23.662430Z digest=sha256:c49d7132491250c4849ae67459951cc24dec135d34d4d6811751793ab18252fc

Observation 13548d26-5811-4191-803f-7aaed09999b6 · inbound

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict cites this paper.

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:42:39.910126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T16:38:32.946287Z digest=sha256:3b767b17463cdb47bf1153c316ea3fd222cc68f9454bd54a68f8a00fa9442c61

Observation 3f7ef5af-b924-45f5-9bd9-1f3d76224b1e · inbound

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems cites this paper.

Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:59.083732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T00:29:09.121399Z digest=sha256:9c721b377d24c8d347cadec540c3b72121382dd6615cc4d62ed01c0b3d785320

Observation b147d524-acdc-4b8c-8243-cc25d35a8583 · inbound

When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG cites this paper.

When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.102417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:10:58.722292Z digest=sha256:1686f22b68c0250dcafbeb33806fbdb5bcf3f2843ef7a792681e3eb4c7b592ba

Observation 1e2eba84-5b9d-4d3d-9b69-c18548195b0a · inbound

Can a Language Model Learn Facts Continually in Its Weights? cites this paper.

Can a Language Model Learn Facts Continually in Its Weights? ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T07:36:43.499258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:36:43.499258Z digest=sha256:5cf386d94a60300f8a492f3e7d2a1c5f5c1185c6c3a79aef0592de5b9d11dcf0

Observation d8e570cf-2f22-4297-ae7f-1fa1469dd6c3 · inbound

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts cites this paper.

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T14:44:03.386535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:44:03.386535Z digest=sha256:bfe06a8c4ca8043d20c2b02c1b1a7079ae45165ac532828cb511db295c90eaa7

Observation 0c3c4960-c756-4576-b6ec-4b9e55d6d82a · inbound

Information Discernment in Large Language Models cites this paper.

Information Discernment in Large Language Models ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T13:26:27.120009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.120009Z digest=sha256:a83098c2b384538689088cef437c7682c14852b0d77d8b0f48775695211614a7

Observation 71529258-6971-4ee7-8a0d-335d55e991a8 · inbound

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence cites this paper.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T07:56:28.653902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T07:56:28.653902Z digest=sha256:00eedad9f0d77916641629b12704d59ff2fd8e033aedfbaf2813e399f91c136f