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Paper Citation Record · LEDGER

Evaluating Consistency and Reasoning Capabilities of Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.16478.

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

pith.paper-citation-record.v1
2404.16478 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:14:33.262619Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

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 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40c8ec38-e37d-48a2-884c-197e34eba25c · inbound

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability cites this paper.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Evaluating Consistency and Reasoning Capabilities of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:14:33.262619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:14:33.262619Z digest=sha256:bdb416966c571ba70468483faf439fea36b57a9e620a95ca29bab70917a54a47

Observation 8bcd07dc-8050-4cc9-8e32-0f41c6a7c13a · inbound

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation cites this paper.

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation Evaluating Consistency and Reasoning Capabilities of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:21.131043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:28:21.131043Z digest=sha256:e726665bbe57977cb535ba698161ec0bb78ca8f86d60199478af3d854735a2c6

Observation 7944b433-45f5-4bcc-9bbe-6db1ac6ae22b · inbound

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models cites this paper.

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models Evaluating Consistency and Reasoning Capabilities of Large Language Models

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:16:20.420635Z

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=2026-08-05T00:16:17.558309Z digest=sha256:7358a0f0976550e50979b308c3c7f000b019e21a6e5b6b49cb986d104c27b7b4