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Paper Citation Record · LEDGER

Calibrating Long-form Generations from Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.06544.

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

pith.paper-citation-record.v1
2402.06544 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:41.205538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:15:43.638812Z

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 05962f18-e9f5-4255-a3cb-3fd08ccfd7e1 · inbound

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities cites this paper.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Calibrating Long-form Generations from Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T14:09:41.205538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:09:41.205538Z digest=sha256:08ee73f181a3b807f5e4a5ff138e0049ced61a72ac0f0d20a62ae06278e4648d

Observation fa27b44e-3d2a-4dc3-9329-e4730c704ef1 · inbound

Logits are All We Need to Adapt Closed Models cites this paper.

Logits are All We Need to Adapt Closed Models Calibrating Long-form Generations from Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T14:18:05.547902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:18:05.547902Z digest=sha256:3a8a2453326a69962aad95b112f06e750a89bd7e044c3e37d795d3cba55f8f4f

Observation ae1b2ccd-afbb-4eb1-b82f-5aa25d147401 · inbound

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines cites this paper.

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines Calibrating Long-form Generations from Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:35.373910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:52:35.373910Z digest=sha256:c8f980b2c542b56a18982c6153a3ab70c69e9ccbf224778cb77213a01681d00a

Observation 114fad7a-4793-4038-9db9-0f98b370b054 · inbound

Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.

Calibrating Model-Based Evaluation Metrics for Summarization Calibrating Long-form Generations from Large Language Models

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:41:36.997078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:36:55.334742Z digest=sha256:b5a3c1ae42b6cea9edc18a0f6ca7e246f0908aeb95c452978003c7a1ab63ef70

Observation 373629ab-bdd6-4c87-8618-98560e6295f9 · inbound

Task-Aware Calibration: Provably Optimal Decoding in LLMs cites this paper.

Task-Aware Calibration: Provably Optimal Decoding in LLMs Calibrating Long-form Generations from Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:56:18.691983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T02:55:54.933129Z digest=sha256:7996037ad270ffae86ed23d9127341d5df1f327b470067b5d293c7902ee53a37

Observation 85d4cc32-a59e-424c-bcdb-f1e37913b9f1 · inbound

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs cites this paper.

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs Calibrating Long-form Generations from Large Language Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T12:15:43.640618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T02:17:19.540484Z digest=sha256:f0ed2f28ee1c4d8d93fdb6b8743440e772b99dda72ebf415c7915628989235a6