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Paper Citation Record · LEDGER

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

As of 23 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:d333655386b3cfdd98c65d8ebf2d55997ef524605ba6a0c11ec7fae84addb3b5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:fb268f3b9866c80fe83cf0e6816a47285f47f5f6d558d0c9b8e75e7a2f6ae567

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:535bae08f3188a3176413b18105753d456da5c222160d36c0931198275b481da

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:ef0d952f428fd0b324a1637502e8ace8d5c848b8683cf101f4ecb74db2ed7228

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:b70659ac7ccfa77837b864db8adbf8227fc877d15394c9b71c3c41444163ed76

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:bf265d2cee25edf8d78de1035b2c238d699d71b41274de6c45df6ac5df4cee9d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:0e0eb5d8dc9a7833349ea6c8f14f0225c5afebf36ecb5c02d5f614f9a80884e7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:7f267c7f75e236d024a4d1b0586b4254d55b3176d63cfbb35b22be1101205eb7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:e37fcb0fd2d20ef932b750e59f4ef1ce993b27726110d1575e8337cba8d3799f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:210e6e546bd46beccd490b47375068133729620a272fe0f75f4b7a5348fbc000

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:cc5588a46e8fd6d420353029182854e8e1355222ed1a186f8314876a68839df3

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:9c062df55dc8c83891fbdc9880b71b112f030630dea0ef008e95cc5d533564ab

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:97df8e103fff0e4702272667d7007d1c8785539924dc77f0d17503e7ba18f3be

Pith citing papers

No inbound Pith citation observations are available.