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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 16 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 2026-08-16T06:30:59.297886+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=sha256:13def178a01ca67796d7c7856e166938b498155336f9e166c13df4fccc7e8f8c

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=sha256:6c287ba6fef687fd5333ff8cb744a0f54f6137772fdb871c35d09133ad689888

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:d4a75c4f0647e7b21e912a43cb145f0b22ddc90eb358104e1aba55d0e6184d08

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=sha256:73b092c2658b193dfd3fcef71c7fe1924eaab3933f45dde597789995f45d2e70

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T14:59:01.759713Z digest=sha256:074a35a4d1bd01e69395a7ed08dccda278e07d7d0bab6ed288c30260608158c9

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=sha256:8fff24f9b72d9fd7d299065cadf9f9331c4d961f6376d42500b139a538b9320c

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:efdc6ad1533e9c4884ae23ab278ba438e85e70acd2a1b30299d52cbc58715b05

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:b01ee97279efc76a957ab3e8ed8df58c1cc7bed17449e48d4d883bb6fc13d6f1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T14:59:01.776345Z digest=sha256:0fc12f1cb1deffadd219ef4580498bd90335e4b592eab53114d06d6a023a40a7

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:c953c83e63a07e918d0bcafd4fbbd67669b2656ad897a2d05f15348777b913c4

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=sha256:3dfbc4afadfaf8f9c1b695cc66a1278266d3e707a3f51b1f4cbedb9f7f51b9de

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:eecd5c4ccad9c5ef15765e07befea5d4114b7c8495a924e6d38405046264668b

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=sha256:9e47ae24dbc0baf975414e8615db1832e8e4b36fb8f470f4bd39227e94fb5bee

Pith citing papers

No inbound Pith citation observations are available.