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Paper Citation Record · LEDGER

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.09875.

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

pith.paper-citation-record.v1
2606.09875 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:31:25.054595Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact10
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85695fee-b6e2-4f6e-845c-d0d4022ab533 · outbound

This paper cites AA-Omniscience: Evaluating cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029,.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs AA-Omniscience: Evaluating cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029,

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.915607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:b9d88a82a40f8c0f8f8acd228c987445dbb04eb2dc81431f82f9f0e8cba8ceef

Observation c107643e-2431-4ab3-86ec-33375fb94504 · outbound

This paper cites Mitigating LLM Hallucinations via Conformal Abstention.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Mitigating LLM Hallucinations via Conformal Abstention

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-28T10:31:59.773597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:ba271be8b1b696b82080825158a234012fead10f0756cab4f3a3fad78e3d74b9

Observation dfbd8d8a-4ba6-45d4-a40e-cf096d839a3c · outbound

This paper cites Estimating LLM Uncertainty with Evidence.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Estimating LLM Uncertainty with Evidence

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:28.937475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:0c7ce128af7cbbf8054c5c6ae9518a150df75d3e555aad14042fae75ab35ecc2

Observation a980ace0-e566-49e6-80e8-fec93c8fc016 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Language Models (Mostly) Know What They Know

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.940936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:889d17f9ce1cd51b39d70f806c89c0133f99ee90c7a07177ed1cd7ecb37e8dd3

Observation aad844a9-56c3-4c2d-a755-308ef3b647d5 · outbound

This paper cites Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:28.929777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:0db4d8464d3d1a128ae05c14a38063e01ae1a683dfabf872f80d8aecdf191f82

Observation 4e085f10-cc25-41f1-b1f5-7d94e0f204c0 · outbound

This paper cites an unresolved cited work.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T10:31:25.054595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:fb5d08bb56e68b48d7af1acd379e9272f1b5c7fdc684d7d4d1dba35039e5478d

Observation c5ef0d98-2497-4f27-8b22-cf51f763ffc1 · outbound

This paper cites Manakul, A.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Manakul, A

Reference 7

Resolution
metadata mismatch
doi, observed 2026-06-28T10:31:59.769577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:327b33c405e18a3727f702f45f30167b754816fe59ee5d020ad82a6d19b24617

Observation d430d813-9625-4850-8d60-609cf813ca7b · outbound

This paper cites Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.933688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:c07f85e061d976cbd87774f211b3ddbd4d78ad16e1488a1d0295f62c7f9b6ef8

Observation 894d49e9-9b2e-411c-9774-cb77c3108f57 · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs LLMs Get Lost In Multi-Turn Conversation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.951311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:f7c91c7064f1a032b27df3dad788b0a435bc31a2dd08bef183772a7426444aea

Observation 851e3960-86f2-4db5-8561-8775976c2487 · outbound

This paper cites Qwen2.5 Technical Report.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Qwen2.5 Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.944090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:a582f22c58b36b85695a245db9129e03fea8650669413caea0d91fab28d29fac

Observation 1ccce015-60ba-4755-be64-d8528e016ff2 · outbound

This paper cites Gemma 3 Technical Report.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Gemma 3 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:56:28.934735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:b2b6d6fae96a2cff867b67fd1e6c184089acb787a6d07a66ffa3ab6a786eaea8

Observation 5c17cf60-565b-48ba-80ad-fc1f5bc60a04 · outbound

This paper cites Fanar: An Arabic-Centric Multimodal Generative AI Platform.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Fanar: An Arabic-Centric Multimodal Generative AI Platform

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.955166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:c858c6580d286cbceadc9b45a49df01c1b39bb15a900bfe2b00d2cfc6bdb6749

Observation 4805feb8-08a6-41ca-aedc-73e0ceea6e01 · outbound

This paper cites Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.940940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:fd338d05f60f08d65f1eea8591ac41860fd45144cbc532d3204b1fb92b37287f

Observation 7973d8c3-ac23-465d-aeee-d5eb26710851 · outbound

This paper cites We use the math subset of the releasedlost_in_conversationdata, comprising103problems decomposed into multiple turns each.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs We use the math subset of the releasedlost_in_conversationdata, comprising103problems decomposed into multiple turns each

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.937840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:879309ecf0745a94494701f1a1ff1579c6f022b027e24d5e69ac511c39297eb0

Pith citing papers

No inbound Pith citation observations are available.