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Paper Citation Record · LEDGER

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

As of 6 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2604.16565.

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

pith.paper-citation-record.v1
2604.16565 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T19:32:09.325085Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:52:43.759436Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T08:04:28.396736Z

Reference resolution

41 of 41 outbound references displayed

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Outbound references

Observation afd3da28-d41c-4f5d-8953-902523f99cd7 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Observation e8c6831e-e804-4e32-8361-3ba056c1b96a · outbound

This paper cites Scaffold: Stochastic controlled aver- aging for federated learning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Scaffold: Stochastic controlled aver- aging for federated learning,

Reference 2

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Observation 6f93dae7-a387-4990-9aaf-1f7035b8a83c · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Feddc: Federated learning with non-iid data via local drift decoupling and correction,

Reference 3

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Observation 947df7b9-a2af-48dd-81ce-c4f36787787e · outbound

This paper cites Federated learning method based on contrastive representation knowledge distillation,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Federated learning method based on contrastive representation knowledge distillation,

Reference 4

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Observation 1ba0e02b-06a9-4c87-ac9b-66783b8672d9 · outbound

This paper cites Heterogeneous federated learning driven by multi- knowledge distillation,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Heterogeneous federated learning driven by multi- knowledge distillation,

Reference 5

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Observation 14290c5a-3c88-4e42-9e9b-be71f6145a91 · outbound

This paper cites Metafed: Federated learning among federations with cyclic knowl- edge distillation for personalized healthcare,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Metafed: Federated learning among federations with cyclic knowl- edge distillation for personalized healthcare,

Reference 6

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:f32de028998c70de43f2d6b3f6d1e83785e0fa2a5104ae42c1af9171ef4b0842

Observation 661ce888-c477-425f-afd5-aa06aeb53577 · outbound

This paper cites Fedgkd: Towards heterogeneous federated learning via global knowledge distillation,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Fedgkd: Towards heterogeneous federated learning via global knowledge distillation,

Reference 7

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Observation e26fffbb-a986-45cc-909f-39e6579b29e6 · outbound

This paper cites Fedcache: A knowledge cache-driven federated learning architecture for person- alized edge intelligence,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Fedcache: A knowledge cache-driven federated learning architecture for person- alized edge intelligence,

Reference 8

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Observation ec91900d-e908-4f1b-b042-821533e3297d · outbound

This paper cites Tackling spatial-temporal heterogeneous fed- erated learning with orthogonal regularization,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Tackling spatial-temporal heterogeneous fed- erated learning with orthogonal regularization,

Reference 9

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Observation a03b3e36-588f-4f18-8c8a-0e000800a899 · outbound

This paper cites Personalized federated learning via gradient-fusion and gradient-decoupling for heteroge- neous data,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Personalized federated learning via gradient-fusion and gradient-decoupling for heteroge- neous data,

Reference 10

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:4ff887c823abe884d9f7fa20a8e3d935a393cf77628a758ae101197a776c5b6c

Observation 867537b2-f1c9-4d7c-b225-ccf3b739643d · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Ditto: Fair and robust federated learning through personalization,

Reference 11

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:e58308d678a5d1a24099522d78f933c7511a293b4b29a05f1dae86ea583b5759

Observation fc20aa00-8c23-4014-a59d-35cf47bee7fc · outbound

This paper cites Personalized federated learning with first or- der model optimization,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Personalized federated learning with first or- der model optimization,

Reference 12

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:a0f2dca467de7dc7569f6c3f5d2bba35007818e2dd18fe89d5fa28f4dd964b1d

Observation 651c0f50-44e4-4d83-b75e-080d5b38ee98 · outbound

This paper cites On bridging generic and personalized federated learning for image classification,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models On bridging generic and personalized federated learning for image classification,

Reference 13

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Observation 64f18ea0-5103-42c5-b55d-bf1fed452dc2 · outbound

This paper cites Reads: A personalized federated learning framework with fine- grained layer aggregation and decentralized clustering,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Reads: A personalized federated learning framework with fine- grained layer aggregation and decentralized clustering,

Reference 14

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Observation f672fc10-de13-4ae2-8b46-e2efcaaeef7c · outbound

This paper cites Classter: Mobile shift-robust personalized federated learning via class-wise clustering,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Classter: Mobile shift-robust personalized federated learning via class-wise clustering,

Reference 15

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:0195fd18afb901bc8160180e00fca5847a1998779efefe275111b7d2edc20594

Observation afbab040-0710-4bbc-b55d-174b42a3b8e9 · outbound

This paper cites Personalized federated learning on non-iid data via group-based meta- learning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Personalized federated learning on non-iid data via group-based meta- learning,

Reference 16

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:f407897b36d6604c5f6923d359783481ae519b4d2d975c8723dc5c8bff4a889e

Observation 7747f75c-db54-40c4-84f9-df40623bc93e · outbound

This paper cites Cpper-fl: Clustered parallel training for efficient personalized federated learning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Cpper-fl: Clustered parallel training for efficient personalized federated learning,

Reference 17

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:f86ef604f9edd3df7fa91aa6a5f4021ab6e2941289b642d2029f3c63e1ab913c

Observation 22597f5d-f769-454b-8c3b-b6300b2d64d1 · outbound

This paper cites Federated Learning with Personalization Layers.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Federated Learning with Personalization Layers

Reference 18

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:7983a1911f11374a444e66f9d2181d2fbdde5bcdcb4d263955ab465c6238a1aa

Observation b4d267ec-491c-4fa4-8fd8-931fad2888d8 · outbound

This paper cites Adaptive Personalized Federated Learning.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Adaptive Personalized Federated Learning

Reference 19

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:54504f8481e317fb4894ea7b2fc5409879cec50aff407cbde2e9ea011ccd6784

Observation 56f3bf48-22e9-4d8e-8cb6-d9e3c7e460a1 · outbound

This paper cites Think Locally, Act Globally: Federated Learning with Local and Global Representations.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 20

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:49f8736dc0eeef942fc7f988dd0ce00cf58bf02ecb9e1c1069f819f01a1a934c

Observation 9d7ba306-80fa-4055-ac86-13cd42188d15 · outbound

This paper cites Exploiting shared representations for personalized fed- erated learning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Exploiting shared representations for personalized fed- erated learning,

Reference 21

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:360a3323626a2f0bca545e97989d1e10f258cdfc3e2f081f5451b945e5c8faef

Observation 7cba7142-8341-4fce-a793-6073f4c5f06b · outbound

This paper cites Fedbabu: Toward en- hanced representation for federated image classification,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Fedbabu: Toward en- hanced representation for federated image classification,

Reference 22

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:f0a9ec0f48a16ec96420c47676b810db17a4519b6e518f390be81164e6c95af7

Observation 9cfaa95d-2ebe-4cfa-a75c-417932424578 · outbound

This paper cites Personalized federated learning with feature alignment and classifier collab- oration,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Personalized federated learning with feature alignment and classifier collab- oration,

Reference 23

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:47b1a23ec128b93099e04d361b23cc1290f96c8cdd96e778ffd1f0fef0c07962

Observation 38e0e9ff-d55a-408f-8a8c-58054357326b · outbound

This paper cites pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning

Reference 24

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:5ad622c5a1bf866b4b2caacffbc24da286e2a971842e3a87c72725e43c27734f

Observation 31d9939a-24a2-42a1-9ffa-699da0c1f5ee · outbound

This paper cites Towards opti- mal customized architecture for heterogeneous federated learning with contrastive cloud-edge model decoupling,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Towards opti- mal customized architecture for heterogeneous federated learning with contrastive cloud-edge model decoupling,

Reference 25

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:d91fefaa4512bf5cf637506acd425f4e1ac8f6638fe86df9da67c25194804570

Observation 3ed073fa-c204-4279-b656-28a5722e6572 · outbound

This paper cites Personalized federated learn- ing via feature distribution adaptation,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Personalized federated learn- ing via feature distribution adaptation,

Reference 26

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:d5d4331970e9a7d48e2d57b93bc15cdb8cb62f84c6d5bd87231d82b1e193898d

Observation bbc09070-3996-4ef5-bd13-549b4fc9add3 · outbound

This paper cites Dynamic personalized federated learning with adaptive differential privacy,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Dynamic personalized federated learning with adaptive differential privacy,

Reference 27

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:23e90edf8fc557944b6ae509f1ea43f2a1746bdae7c104f0002df0a3dc1d8cf7

Observation bcf53523-cbaa-4090-b983-0d1b23897746 · outbound

This paper cites Accelerat- ing federated learning via parameter selection and pre- synchronization in mobile edge-cloud networks,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Accelerat- ing federated learning via parameter selection and pre- synchronization in mobile edge-cloud networks,

Reference 28

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:7201913e512786dca93c110a65283d25e28aaae8d23d4dd929b2eaa6021317b9

Observation ee8e3ba4-5c3b-4c4a-9425-7c6ba4b31882 · outbound

This paper cites Fedselect: Personalized federated learning 14 with customized selection of parameters for fine-tuning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Fedselect: Personalized federated learning 14 with customized selection of parameters for fine-tuning,

Reference 29

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:1c881edc58a7d77cb3371ebe7746ba15b85c2bdcab1c39f2704b47a2e0956792

Observation 3dc2197c-9203-4b5d-86d1-d79a26c6d38e · outbound

This paper cites Optimal brain damage,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Optimal brain damage,

Reference 30

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:b6c2b73f164236ca6c9a4c5d224fc06b39eec29d307629c06a335be75df9783e

Observation 94c8dd49-f5c4-4e0c-93c4-a2acb81fa6bb · outbound

This paper cites Federated learning over connected modes,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Federated learning over connected modes,

Reference 31

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:14f9a6a30b855e3e71b4af4777181c0c9891fbdb9761b4c3c2a3d143bf542c64

Observation a61ef59e-418e-4142-a79d-586d8f1e4a6c · outbound

This paper cites Federated representation learning in the under-parameterized regime,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Federated representation learning in the under-parameterized regime,

Reference 32

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:0cd6c6d28345896a2023e9dcf2f442be3de29d5de4e9e2f0772926647b3a3d58

Observation f40b1f98-1a9c-4372-ae2b-de35a3aae0d3 · outbound

This paper cites Seqfededt: Ac- celerating sequential federated learning on non-iid data via element-wise decoupled training,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Seqfededt: Ac- celerating sequential federated learning on non-iid data via element-wise decoupled training,

Reference 33

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:10454fcdf9830c43e9717ae54f61c0c82db1cd03d1dcddb9cc5c5b218899c699

Observation fa9a6702-d496-489f-aa9a-7a7668bd88c5 · outbound

This paper cites Second order derivatives for network pruning: Optimal brain surgeon,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Second order derivatives for network pruning: Optimal brain surgeon,

Reference 34

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source=pdf_text observed=2026-07-12T19:32:09.325085Z digest=sha256:2af5d1cdc7c781e46c99687e7a3be79e7c5804b76a7a0b25723d005d0266a734

Observation 103428e3-92a5-4e65-95cc-8dc05f964563 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Llm-pruner: On the structural pruning of large language models,

Reference 35

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Observation 5d4d7b42-0e45-4335-9acc-e691105d3098 · outbound

This paper cites Loraprune: Pruning meets low-rank parameter-efficient fine-tuning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Loraprune: Pruning meets low-rank parameter-efficient fine-tuning,

Reference 36

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Observation d60fa649-6c9b-4230-8d37-6bdf0ad92c47 · outbound

This paper cites Distilling the knowledge in a neural network,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Distilling the knowledge in a neural network,

Reference 37

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Observation 53824e45-a198-44e4-8912-698257705a1d · outbound

This paper cites Importance estimation for neural network pruning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Importance estimation for neural network pruning,

Reference 38

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Observation 8d08c590-9a87-40f9-98e6-e1ccf70dcc17 · outbound

This paper cites Adaptive federated optimization,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Adaptive federated optimization,

Reference 39

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Observation ac315fcb-c5e6-4402-9203-497ed7413693 · outbound

This paper cites Fedala: Adaptive local aggregation for personalized federated learning,.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Fedala: Adaptive local aggregation for personalized federated learning,

Reference 40

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Observation bc7405c4-1791-4668-92c8-3821401db4f3 · outbound

This paper cites He has published in journals and confer- ences including IEEE TRANSACTIONS ONMOBILE COMPUTINGand IEEE INFOCOM.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models He has published in journals and confer- ences including IEEE TRANSACTIONS ONMOBILE COMPUTINGand IEEE INFOCOM

Reference 41

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Pith citing papers

Observation 9c737e97-c971-4716-a1e6-34adf6ff934d · inbound

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement cites this paper.

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

Reference 26

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local_arxiv, observed 2026-06-30T08:04:28.398515Z

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Observation 27cb64f1-8b0a-4e1c-af35-7808cd7ae327 · inbound

Where and When to Commit: Candidate-Aware Decoding for Diffusion Language Models cites this paper.

Where and When to Commit: Candidate-Aware Decoding for Diffusion Language Models Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models

Reference 2021

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