Pith. sign in

Paper Citation Record · LEDGER

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2502.00826.

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

pith.paper-citation-record.v1
2502.00826 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:37:25.415971Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f482a995-3545-401c-9271-2239470ec0ad · outbound

This paper cites Weak to strong generaliza tion for large language models with multi-capabilities,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Weak to strong generaliza tion for large language models with multi-capabilities,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.694337Z

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=2026-08-09T17:37:25.330539Z digest=sha256:7c66768e78ceae388bc037d9c4bbb18750f0ec4a596d305dca613cdb61049743

Observation 2b5cbb05-e875-4ac6-9469-5f3e6da68270 · outbound

This paper cites Master ing text-to-image diffusion: Recaptioning, planning, and gen erating with multimodal llms,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Master ing text-to-image diffusion: Recaptioning, planning, and gen erating with multimodal llms,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.684372Z

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=2026-08-09T17:37:25.335258Z digest=sha256:361dd809a5768b0d20066459163c9567d71dddee6967d4543d7df94d654340a6

Observation 9a55c5d4-ae76-4b79-afc4-249b3ac668a0 · outbound

This paper cites Dil ightnet: Fine-grained lighting control for diffusion-based image g eneration,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Dil ightnet: Fine-grained lighting control for diffusion-based image g eneration,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.674768Z

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=2026-08-09T17:37:25.339086Z digest=sha256:ca2b8540f05c9a9f6ec857d05c9089e16ecd0d1f4eb09e416d8dcde284b14223

Observation 87cb6a26-b06f-4de3-96c6-0b347858c1e7 · outbound

This paper cites Adding conditional co ntrol to text-to-image diffusion models,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Adding conditional co ntrol to text-to-image diffusion models,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.664788Z

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=2026-08-09T17:37:25.342972Z digest=sha256:97b8d15cf234a2fa969cbb5a558c8a66a3935dc108d838885e41be6e82278f1b

Observation e65608df-dd9a-4ec4-ac19-099d3dc271b1 · outbound

This paper cites InsectMamba: Insect Pest Classification with State Space Model.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models InsectMamba: Insect Pest Classification with State Space Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.346821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.346821Z digest=sha256:0be2fcbbbcb8c58fa1ede829b11ccb7babeab0545acc967d515c8cd2e1b0736e

Observation 7f1cacfa-09b4-45ea-999f-fedf860d031c · outbound

This paper cites An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.350797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.350797Z digest=sha256:89244ccbdbec9d782a6e4b521982696a9d88d3f9462b2b17bbe0a6bfaea6917b

Observation 23189f0e-cb46-4685-9e00-2fb802fb96dc · outbound

This paper cites Diffusion Model with Representation Alignment for Protein Inverse Folding.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Diffusion Model with Representation Alignment for Protein Inverse Folding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.355042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.355042Z digest=sha256:a07eb8687c6b7ed45b1e99bfb3ad7d572dd26e8ba39fe5363625a28c00859827

Observation 6e2ce41c-f82b-46d5-9c7e-57d420dbfa8c · outbound

This paper cites Where to dif fuse, how to diffuse, and how to get back: Automated learning for multivariate diffusions,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Where to dif fuse, how to diffuse, and how to get back: Automated learning for multivariate diffusions,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.653269Z

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=2026-08-09T17:37:25.358876Z digest=sha256:ac2fb8335eb59233efa27215c1bfeaeab0b4bb399fb429e010c8163a6128d46e

Observation f31814e2-10c9-4a04-b48a-8c088a0bdbc0 · outbound

This paper cites Diffusion models fo r non- autoregressive text generation: A survey,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Diffusion models fo r non- autoregressive text generation: A survey,

Reference 9

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T17:37:25.640695Z

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=2026-08-09T17:37:25.362500Z digest=sha256:c8a7f499bb860807046150d2613587dc3cc8c674a75d9b298dc7266023f59172

Observation a3858cbe-6746-414b-b260-5642948f2221 · outbound

This paper cites Diffusion on dynamic contact networks with indirect transmission links.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Diffusion on dynamic contact networks with indirect transmission links

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:37:25.525074Z

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=2026-08-09T17:37:25.366168Z digest=sha256:fe620802b182003d79f3b4fd3a74b7a5b781cacc4feed3f831a0626981aff583

Observation c13ba17b-0e1f-4e5d-87de-840decc9e53d · outbound

This paper cites Diffusion Models are Evolutionary Algorithms.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Diffusion Models are Evolutionary Algorithms

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.370086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.370086Z digest=sha256:6562d721b41e0a5fc52a7efc46c1e10a9c39af0a9a26910bd8bf10ea2e37d953

Observation f6c504dc-e429-402c-85e2-e2f5f2f0aedd · outbound

This paper cites Claret: Pre-training a correlation-aware context-to-event transformer for eve nt-centric gener- ation and classification,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Claret: Pre-training a correlation-aware context-to-event transformer for eve nt-centric gener- ation and classification,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.629371Z

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=2026-08-09T17:37:25.374172Z digest=sha256:129371f1b8bb07ff04b2a8951493e9bae35f189a75a6d0006d70cc0f00a1e5c6

Observation 4d3a43d2-e8c9-4700-96c8-0b90bb9501f6 · outbound

This paper cites Fine-grained distillation for long document ret rieval,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Fine-grained distillation for long document ret rieval,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.617795Z

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=2026-08-09T17:37:25.377808Z digest=sha256:432e17135a82f79549d820f9d410f9a41ed1d4adde607b2775ba33f31264c54a

Observation e60a77e0-fbed-4045-9423-0de566221e73 · outbound

This paper cites Eventbe rt: A pre- trained model for event correlation reasoning,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Eventbe rt: A pre- trained model for event correlation reasoning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.607010Z

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=2026-08-09T17:37:25.381583Z digest=sha256:5de759954dc325caee7b89b0c418eb08ba0df8fb90e28cfca136e43790fafe21

Observation e215232b-1383-45d3-b70f-2ceae9100f69 · outbound

This paper cites Cedille: A large autoregressive French language model.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Cedille: A large autoregressive French language model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.384892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.384892Z digest=sha256:61a107ed40f3278334a97d88c373b7765065b34957332bcf722b7d3a5287826c

Observation a28b8922-10c3-434a-8014-7ddef3972adf · outbound

This paper cites Goldfish: Monolingual Language Models for 350 Languages.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Goldfish: Monolingual Language Models for 350 Languages

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.388466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.388466Z digest=sha256:087dc55fc249150b8ad1b14aae70e75ef682f53d6eac01b5b45d01757359563f

Observation 96a438ff-7e2b-47b5-982e-d0ac351408fd · outbound

This paper cites Less is more: Vision representation compression for efficient video gene ration with large language models,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Less is more: Vision representation compression for efficient video gene ration with large language models,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.595179Z

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=2026-08-09T17:37:25.391940Z digest=sha256:d3a32622c68a29fa5ea7ee6dd602b33abade14fda17efe9722d88ff3a181126a

Observation 3f1877b9-f9ca-4853-a3e3-21769fda5077 · outbound

This paper cites Style-aware contrastive learning for multi-style image captioning,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Style-aware contrastive learning for multi-style image captioning,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.394966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.394966Z digest=sha256:1479b6f7b575e46b3e8bcc9b28c1f87067421d432667d93a94c157783f5d9097

Observation 7f017bf9-e933-4543-82de-a78c6b6ceca1 · outbound

This paper cites Modeling event-pair relations in external knowledge graphs for scri pt reasoning,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Modeling event-pair relations in external knowledge graphs for scri pt reasoning,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.398168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.398168Z digest=sha256:d3701807fdb4d23461bddc0e44ad7a5f7024d2302cfbad5a3c9eafc59e9d5b4b

Observation a3a23e9a-50d4-4537-ad58-3793b9a82d1d · outbound

This paper cites Advancing bioinformatics with large language models: components, applications and perspectives.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Advancing bioinformatics with large language models: components, applications and perspectives

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.401210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.401210Z digest=sha256:584a272b8f4dd3230e33ac8a9e741009eeb52e16fe687c25229f5e6c3f5543e1

Observation 6bb1c0ca-0d5e-487e-acf1-e2a268424529 · outbound

This paper cites Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.404963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.404963Z digest=sha256:24f0e4503c7ee7cd4a50f32d8d61dc01aa2adaffbdceeec6de399f535f213bc9

Observation 36ebda86-8388-4eca-b3b0-f563803607de · outbound

This paper cites Improv ing zero-shot cross-lingual transfer for multilingual questi on answering over knowledge graph,.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Improv ing zero-shot cross-lingual transfer for multilingual questi on answering over knowledge graph,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.408877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.408877Z digest=sha256:1fcbcee8c694a761541a2070cca18a9bf5a396d806977b8c6f05ca18c75ba03e

Observation 9289390f-34d1-4b1d-919a-524b1b2e0b79 · outbound

This paper cites How good are commercial large language models on african languages?.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models How good are commercial large language models on african languages?

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:37:25.564884Z

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=2026-08-09T17:37:25.412546Z digest=sha256:91069f1dd3699957f47cd36c66970b99254eda994490208bb85baf34646e839f

Observation 2eaf1aba-08be-4977-9bb0-f5bc3ad8f5fc · outbound

This paper cites Lost in Translation: Large Language Models in Non-English Content Analysis.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models Lost in Translation: Large Language Models in Non-English Content Analysis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:25.415971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.415971Z digest=sha256:dab3d0a16a58334062610916f7c0cba0f8ab896306d37acd02e85542c9852e69

Pith citing papers

No inbound Pith citation observations are available.