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Paper Citation Record · LEDGER

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.16908.

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

pith.paper-citation-record.v1
2405.16908 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:28:21.764564Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e004d1a5-baf7-4015-b7a0-f9d3f57e1f11 · inbound

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models cites this paper.

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T15:28:21.764564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:28:21.764564Z digest=sha256:cab3124366c8b748e89ed35d94ea4b9006a871d6bd712acaa8a886649a0f65b4

Observation fa215f92-9a25-47e0-aafd-9a79905999f6 · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 235

Resolution
unresolved
no resolver link, observed 2026-08-11T20:37:55.219936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:55.219936Z digest=sha256:d0c1ba60bb43928cbc6311af8beea0d7f222a116eebb713e4e61477486eac415

Observation cb0d7eee-d9d4-4b3c-9117-27a1c2e6778f · inbound

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization cites this paper.

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T22:49:51.825552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:49:51.825552Z digest=sha256:32425d174eb3b2cc05f3a517616f9e08dfa8a2752d441b1e9643dc06fb40be39

Observation 8cc476a4-b5ac-47d6-a58f-21857203356d · inbound

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights cites this paper.

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.210154Z

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=2026-05-23T02:24:14.221512Z digest=sha256:d577f8c942f9e23dcb6fa628748a4d53e7473aab574b7c324b97e3598dc263ea

Observation 46d5145c-d84e-4cc8-8d54-ac61ca9238c7 · inbound

Revisiting Uncertainty Estimation and Calibration of Large Language Models cites this paper.

Revisiting Uncertainty Estimation and Calibration of Large Language Models Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:38.828049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:38.828049Z digest=sha256:8c43292cd9826b7e0976e5313c923a648f0fc0d55315f9f3058e38736fc87209

Observation 16bce144-988f-4195-8689-155f22e07d2b · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:50.553071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:50.553071Z digest=sha256:c855936bfcde55f4f5ad35938789cfbaf3ff0042426b2252680090183fa16575

Observation 974877ef-a3bf-4abb-9fbe-3eacb0dd661d · inbound

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation cites this paper.

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:11.639359Z

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=2026-05-09T18:30:03.367870Z digest=sha256:9f7cf6552b2c1154e4e74ea3e3550ee30fa7dfbca600471e9be3b3687bb4c9da

Observation c0a35f1e-308a-44ae-a43b-db37ae33350b · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:50.817502Z

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=2026-05-14T19:24:53.816091Z digest=sha256:05f053cdab76b874bdd43e967a7af76447d0043a6eb7bc330862c8afd1b02f46

Observation ce7654c3-0369-492d-a1de-04c049c3abb3 · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:53:43.333477Z

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=2026-05-20T20:51:54.829821Z digest=sha256:0b4e75e866ef61c04beec721680f8662aedd357f370a29b6330d02833b574c7c

Observation 7d369d86-529d-465e-b556-4aae174513a7 · inbound

Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making cites this paper.

Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:03:17.150690Z

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=2026-06-29T09:58:43.587003Z digest=sha256:a23550e002dc1731030f20149c6a0a2adbd5423d3a6c51f5169ce2c9855a8cdc

Observation 4d124d96-6592-4292-a609-ab5f96664741 · inbound

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs cites this paper.

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T10:04:51.460659Z

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=arxiv_source observed=2026-07-08T09:56:07.928172Z digest=sha256:33bae4072cd6bb81abb29565914e7ffc3649485e0ddb3cd71d9657d8b46c9948