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Paper Citation Record · LEDGER

Robust Reward Modeling for Large Language Models via Causal Decomposition

As of 1 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2604.13833.

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

pith.paper-citation-record.v1
2604.13833 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:50:47.902911Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93163713-4833-40c2-ad31-24fd5d384d74 · outbound

This paper cites WARP: On the Benefits of Weight Averaged Rewarded Policies.

Robust Reward Modeling for Large Language Models via Causal Decomposition WARP: On the Benefits of Weight Averaged Rewarded Policies

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:00:29.610326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T13:50:47.902911Z digest=sha256:6fdea63e7506be763b117cc9d11f64eed9b73763cb5fedd67bc1f551ca48d257

Observation f5703def-dd90-49d8-8885-be064697dd6a · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

Robust Reward Modeling for Large Language Models via Causal Decomposition A Long Way to Go: Investigating Length Correlations in RLHF

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:00:29.614432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T13:50:47.902911Z digest=sha256:90d5862fa25afc8cf4b6e21c69d11c3ea87a3694a8f144e589eb77f68f92e9b5

Observation cfc6e527-9550-452b-97d5-ed00910a49c1 · outbound

This paper cites Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

Robust Reward Modeling for Large Language Models via Causal Decomposition Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.618255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T13:50:47.902911Z digest=sha256:d20545dd7360fafc8f4e372a57a73df640a8b5b6db41c6f60167a5628a76288e

Observation f45a0ccb-bc98-4615-be12-c9d49c4529aa · outbound

This paper cites an unresolved cited work.

Robust Reward Modeling for Large Language Models via Causal Decomposition Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:11:52.027838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T13:50:47.902911Z digest=sha256:73dd4544f3d00307beca8725b9e1e1fd91e84ddc1304030cd6566d099d77d09e

Observation e9e7b4a4-8b3d-4c0a-b2c0-a5d4468ba555 · outbound

This paper cites Assumption 3(Top-K Margin Condition).For si =P f(w i) and ideal Top-K indices Jwi, there existsδ >0such that: min j∈Jwi min t /∈Jwi (|si,j| − |si,t|)≥δ.

Robust Reward Modeling for Large Language Models via Causal Decomposition Assumption 3(Top-K Margin Condition).For si =P f(w i) and ideal Top-K indices Jwi, there existsδ >0such that: min j∈Jwi min t /∈Jwi (|si,j| − |si,t|)≥δ

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.622746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T13:50:47.902911Z digest=sha256:26cc5bf841e18d7f83208e4b5ab750591771f2dca5518b36b60aa80701224621

Pith citing papers

No inbound Pith citation observations are available.