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Paper Citation Record · LEDGER

Tailoring Self-Rationalizers with Multi-Reward Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.02805.

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

pith.paper-citation-record.v1
2311.02805 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:15:27.891750Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 ea864c49-05f0-41b0-bb51-7c3494cd308c · inbound

Rethinking Human Preference Evaluation of LLM Rationales cites this paper.

Rethinking Human Preference Evaluation of LLM Rationales Tailoring Self-Rationalizers with Multi-Reward Distillation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T17:15:27.891750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:15:27.891750Z digest=sha256:c4e367f88633a26a9857c5bf6f3a66a5200dcfe3026ff91d7242b4f1262f0429

Observation 92738c88-38f9-45d3-972c-afe82a8514b3 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Tailoring Self-Rationalizers with Multi-Reward Distillation

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-01T08:36:29.882486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:29.882486Z digest=sha256:000d0f001f43e9b94331de3c1d463f5e6e0ee58ecc0d3eb457b5026fd40d7582