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Paper Citation Record · LEDGER

Diffusion Guided Language Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.04220.

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

pith.paper-citation-record.v1
2408.04220 v1

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:55.575387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:36:28.886843Z

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 9e1aa101-ef4c-437e-9ea3-73f37b20fe55 · inbound

Large Language Models to Diffusion Finetuning cites this paper.

Large Language Models to Diffusion Finetuning Diffusion Guided Language Modeling

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:55.575387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:55.575387Z digest=sha256:29f2571ea9388a498319ebb403dcf887ce19f04d365c788903472922b9d65d11

Observation e6c3ef90-a67a-4187-a876-6e1dbd742e89 · inbound

Theoretical Benefit and Limitation of Diffusion Language Model cites this paper.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Guided Language Modeling

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:23.036132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:23.036132Z digest=sha256:544fa516580a7893f2ee53fd638ca833c9aef4c0399dae49f68dc87d6c1cee12

Observation 4e084b31-5a22-40e6-9e10-d89938c64ef1 · inbound

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking cites this paper.

Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Diffusion Guided Language Modeling

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:49.943705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:49.943705Z digest=sha256:3718cd1dc94bc66d20bc01cc2166c46b795ecc395175f13b7c8e9e34544b0603

Observation 1a72bd3e-90a2-4d86-92b3-d484694218d9 · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Diffusion Guided Language Modeling

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:48:40.869877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:40.869877Z digest=sha256:1e3bc273e8ec51843a072d661f961a1bef5fd1bbf5ce7f55e56dc93b8b5dce90

Observation 6548a9de-601a-4768-81b7-ef405852735a · inbound

Discrete Stochastic Localization for Non-autoregressive Generation cites this paper.

Discrete Stochastic Localization for Non-autoregressive Generation Diffusion Guided Language Modeling

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:36:28.890298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T11:36:24.506077Z digest=sha256:c78faab0a413e46020607c5c84c5454370dcbb56840950f0547081d7e3c496ae