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Paper Citation Record · LEDGER

Distinguishing the Knowable from the Unknowable with Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.03563.

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

pith.paper-citation-record.v1
2402.03563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:14.446721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.931098Z

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 6ede8505-e5d0-4af4-8aaf-a640575c7858 · inbound

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models cites this paper.

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models Distinguishing the Knowable from the Unknowable with Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:14.446721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:14.446721Z digest=sha256:68fe3154b5d0c01ccb27ac6db4ee5bce0f9756da079090cc8d5ed4e3e17a39fb

Observation 24a476c3-10bf-4d30-a857-d295a42ec6d3 · inbound

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Distinguishing the Knowable from the Unknowable with Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T23:01:42.589671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:01:42.589671Z digest=sha256:c1ec687dc6203d9028e406f5f1417d4bda92bbb31c4f7577a9c1c50aa21bc460

Observation 5bed9f45-b2bc-4ac1-a794-ff517d502d8f · inbound

Entropy Sentinel: Probing Entropy Traces for LLM Monitoring cites this paper.

Entropy Sentinel: Probing Entropy Traces for LLM Monitoring Distinguishing the Knowable from the Unknowable with Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T10:48:02.948053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:48:02.948053Z digest=sha256:1ef1b791c1e0043d3d1e46b3235aa93f72d368b060fdd699e5285f4c2f4fbe84

Observation 5e0c83f0-ab77-41fc-99dc-30c07f704e3e · inbound

Entropy Sentinel: Probing Entropy Traces for LLM Monitoring cites this paper.

Entropy Sentinel: Probing Entropy Traces for LLM Monitoring Distinguishing the Knowable from the Unknowable with Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T06:25:46.862615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:25:46.862615Z digest=sha256:695e897a7d386b7dd5185f31583fdeebecd92761cbee83a93e1bedb97ac3f349

Observation 78a77b43-9dac-4cf9-b945-5ece97f5357d · inbound

Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study cites this paper.

Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study Distinguishing the Knowable from the Unknowable with Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:50:09.227036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T12:49:55.133251Z digest=sha256:1d1a6c93e9298ae1360c85aa3adc70c89c9f309f262441cddeee0fd1afaae3d8

Observation 3813866d-ec51-4306-a6a9-fc022ad7a81c · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Distinguishing the Knowable from the Unknowable with Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:27:19.355068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T05:17:34.283917Z digest=sha256:d76374d495e9ee6a8d83096165ad093ee7ae6586e3b7b3cd2a37eca041e7d9b2

Observation 39e489ba-6ad5-41ca-89b1-b4e6693aa281 · inbound

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal cites this paper.

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal Distinguishing the Knowable from the Unknowable with Language Models

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:47.933252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T10:32:57.295159Z digest=sha256:1b110501b4d0ca149704c3b614780bf0e83873ce5b178d5951be7fa1ce6b9db4

Observation 7a1d2bca-3a9a-4cf0-b10d-50a399c5b7e4 · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Distinguishing the Knowable from the Unknowable with Language Models

Reference 118

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T08:57:48.066210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T10:36:09.211639Z digest=sha256:a141294dc125d01383848f3cbbeb1e202c5d6273af626cf3d9da75d8cda763d6