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Paper Citation Record · LEDGER

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.02942.

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

pith.paper-citation-record.v1
2608.02942 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:59:01.776345Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df53f61c-a57f-4ea5-a67f-83322de4f780 · outbound

This paper cites Cheng, S.; Bian, Y.; Liu, D.; Jiang, Y.; Liu, Y.; Zhang, L.; Wang, W.; Guo, Q.; Chen, K.; Qi, B.; and Zhou, B.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Cheng, S.; Bian, Y.; Liu, D.; Jiang, Y.; Liu, Y.; Zhang, L.; Wang, W.; Guo, Q.; Chen, K.; Qi, B.; and Zhou, B

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.736039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.736039Z digest=sha256:aa5ab1fcdef1ad80b75fb340ef6e06fa53f5404042ef1b9f5d3ea19b5f992573

Observation d86fc0e2-0452-46ff-8179-1d8a8b390fb1 · outbound

This paper cites Cobbe, K.; Kosaraju, V.; Bavarian, M.; Chen, M.; Jun, H.; Kaiser, L.; Plappert, M.; Tworek, J.; Hilton, J.; Nakano, R.; Hesse,C.;andSchulman,J.2021.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Cobbe, K.; Kosaraju, V.; Bavarian, M.; Chen, M.; Jun, H.; Kaiser, L.; Plappert, M.; Tworek, J.; Hilton, J.; Nakano, R.; Hesse,C.;andSchulman,J.2021

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.740134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.740134Z digest=sha256:bc8da6b562f6244be277dae036f64a13f38034e8ab4ef4bd14af5f3cf1fe0b80

Observation d9e5a6c9-5621-410f-bdd2-ab42d55d5a95 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.744567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.744567Z digest=sha256:86e45d8b1ee2bdb42f9dbab4abb6c33aae3ad16583df5ce6e1a72e5887f543a2

Observation 6d6ba315-1517-438b-9c03-a3a367129795 · outbound

This paper cites Large Language Diffusion Models.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Large Language Diffusion Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.749331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.749331Z digest=sha256:6f1693fa0a7c212811eeac057acf5291639d95d546224905e69ef4538fd91ffc

Observation 5031ea4b-2cf4-4e92-bdf4-6bd777cad02e · outbound

This paper cites Trace-Based On-Policy Distillation for Masked Diffusion Language Models.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Trace-Based On-Policy Distillation for Masked Diffusion Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:59:01.871518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T14:59:01.759713Z digest=sha256:9b5dc6d5c9addc2694b9c72b6377f8a7806ce7590cb6230eee720d2124b275e2

Observation ed69a208-d10f-4a9f-b45f-bc4958c6657c · outbound

This paper cites Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.764037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.764037Z digest=sha256:e5cdf9d0f41750549030248287876ab74640ed36946e721546dc14ac72b6cd96

Observation dd9eb10b-2711-4d3c-9940-41e7dd30aa67 · outbound

This paper cites Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.767961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.767961Z digest=sha256:752e775af35dba4adf4d401c648ef6da8203301367f6d1ed08c1f454a98c3bb6

Observation 56e51e6c-d2e0-45d1-8aac-5a1cd3498482 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Dream 7B: Diffusion Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.772101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.772101Z digest=sha256:56db5f235b279d807a6d623382b5439be3d07ab15298e9b6e9972f3f5732ecec

Observation c37d4219-b0d3-4d52-8dc5-74692619e486 · outbound

This paper cites TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:59:01.817863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T14:59:01.776345Z digest=sha256:e1fd6f06f2d5c2599495994fac3853939bc744a13bef3166b92c4e29b119f557

Observation 39bf848e-86c8-401d-afb1-420300009734 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Evaluating Large Language Models Trained on Code

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.731098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.731098Z digest=sha256:0276684b617b3b32c9feb7c9c89496575780afd6a74c13875cde33058d6a6ba3

Observation 338e4086-f86e-490a-82dd-566798267e70 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.721536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.721536Z digest=sha256:ba67e38af2533ccba1a88cdb65db44b4668b8884472452292977d756d6bc7160

Observation f4fd786a-dc50-4a69-9d83-097a56d17efa · outbound

This paper cites Program Synthesis with Large Language Models.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models Program Synthesis with Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.726608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.726608Z digest=sha256:bcca0fcd6ec136354de10c1d7d41f5a2142d08dde5ba5659e97e77ba5317b186

Observation 494b753f-6afd-4b85-ba8f-b94559bccd55 · outbound

This paper cites d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation.

OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-15T14:59:01.754448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:59:01.754448Z digest=sha256:9ab41bd3d22db1976cc6d24798cbf01a72765ed93adac1953b43b8e9391f5541

Pith citing papers

No inbound Pith citation observations are available.