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Paper Citation Record · LEDGER

MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02381.

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

pith.paper-citation-record.v1
2410.02381 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:10:44.197838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:41:37.102818Z

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 4d7730e8-72e2-4267-8c8b-1282a9528f14 · inbound

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback cites this paper.

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T21:10:44.197838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:10:44.197838Z digest=sha256:5ff1f446f91835afe58e7a9d30ff9cc7da48f1602ff18c375c744d50514fba7b

Observation dd4ef48f-0cae-4d75-8fc2-22714ee90684 · inbound

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment cites this paper.

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T11:47:17.641981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:47:17.641981Z digest=sha256:b6029edd07afea6038ef481c4da63231b9e62a3f0dbe54bb8557622695b8f697

Observation a71856fb-f940-4e8f-8098-d0b4794b6b94 · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:07.208459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:48:07.208459Z digest=sha256:2fa2efb5f5df3589c43d6df0e204825620c6100398884afa92ceef107332adc1

Observation 1222bc61-b6f9-43d4-8f9e-6dd8c40ffbe7 · inbound

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation cites this paper.

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T10:59:25.447712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.447712Z digest=sha256:7a88cca315e002bcac4cfead31dfd96544c404c060dcc4ba490d5439ca597cab

Observation 06c4a736-d257-45fd-844c-a00ee71b5d1b · inbound

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

Calibrating Model-Based Evaluation Metrics for Summarization MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:41:37.104249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T06:36:55.334742Z digest=sha256:34aabc3365531324705a6b31681c53e9f7e0c7abf0e71e3a2d0e3ae14db24e2c