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Paper Citation Record · LEDGER

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2306.09296.

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

pith.paper-citation-record.v1
2306.09296 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:42:39.212896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:46:14.227640Z

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 9dcd06f6-ccf6-48c4-bc51-1bfaa201768c · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 210

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:25:59.652158Z

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=2026-05-18T14:25:58.876978Z digest=sha256:af665ef7604ffcf0d0dd9c69204fcb1a23364e9250902c63f64361f0673ca8aa

Observation 34d58871-b0d6-4a87-a200-2b005e6ad0ab · inbound

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation cites this paper.

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:24:27.532482Z

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=2026-05-15T16:24:27.407376Z digest=sha256:5f6e168951693572eec2d260301785b61a9f7899d5b67267b59c4c0327d29b55

Observation 709b7117-57a4-4aac-9e3a-d5769017d943 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:39.212896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:39.212896Z digest=sha256:a36f0d4ddde71b6c431c40035dd023546e03afeda1379df688ea4f1ac7c328f2

Observation da47e37e-7359-4c17-8e16-2b3484793058 · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.352432Z

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=2026-05-12T02:21:12.882825Z digest=sha256:b121945cb21b004c1b83b6b6bdded37bb6ca8996add68ce4b47eaeb703ea6d25

Observation 0499dff1-e721-4522-85b7-0ef4099f474f · inbound

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation cites this paper.

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:33:56.562704Z

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=2026-05-21T01:30:03.878197Z digest=sha256:3cbb8c130e1eea82200ceef1034a7f9e088595e3efa17368594eae4966d18ec5

Observation fdc28b91-c1d9-4ac0-abe0-f791d7f4c0f2 · inbound

Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking cites this paper.

Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.229166Z

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=2026-06-28T17:39:56.659403Z digest=sha256:f5f82047134d983a8a70e6ae56e2f4097ec6d08547ef2415b212bf919ed4d24e

Observation 3e2ac304-1b4a-461c-8cdc-be8669872569 · inbound

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives cites this paper.

Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-01T15:26:57.573321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:26:57.573321Z digest=sha256:c56a064672d6fd59586dad866119491f1cde8f6c694d3d8b2748b680e42d909a

Observation e2827bf8-4a69-4e39-acec-6618a57bc6a0 · inbound

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA cites this paper.

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T14:35:01.430251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:35:01.430251Z digest=sha256:20a9544c66646b274e1fe61f21b7ed46a34c045f27b2cca99cfec243ec9e7f00

Observation 4781a9b2-131e-464a-9235-4bcec0ac97d5 · inbound

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis cites this paper.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T22:43:12.013366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:43:12.013366Z digest=sha256:0275326c2670a0159797043cbe69661af622002d46ba65a42f8898d082651240