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Paper Citation Record · LEDGER

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2605.12754.

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

pith.paper-citation-record.v1
2605.12754 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:16:07.851540Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:10:24.773490Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact25
  • verified fuzzy30
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ce66180-b534-4e03-9f85-6b99b8fdbc9c · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling High-resolution image synthesis with latent diffusion models

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 61a96c78-5c63-4a15-9efb-51630005f69c · outbound

This paper cites Flowception: Temporally expansive flow matching for video generation.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Flowception: Temporally expansive flow matching for video generation

Reference 2

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arxiv_id, observed 2026-05-14T21:17:59.171188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 57110a3d-489d-4a19-83f6-12b032389751 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954

Reference 3

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arxiv_id, observed 2026-05-14T21:17:59.176831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a08e20e2-c4c2-407c-9484-662c09f969b2 · outbound

This paper cites Diffusebot: Breeding soft robots with physics-augmented generative diffusion models.Advances in Neural Information Processing Systems, 36:44398–44423.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Diffusebot: Breeding soft robots with physics-augmented generative diffusion models.Advances in Neural Information Processing Systems, 36:44398–44423

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e1c202cc-bdd1-4f66-ae53-d2e7eccea999 · outbound

This paper cites Con- strained diffusion for accelerated structure relaxation of inorganic solids with point defects.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Con- strained diffusion for accelerated structure relaxation of inorganic solids with point defects

Reference 5

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arxiv_id, observed 2026-05-14T21:17:59.161246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6c018ddd-e2d9-4a27-ba44-210af4b863e2 · outbound

This paper cites Physics-aware diffusion models for micro-structure material design.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Physics-aware diffusion models for micro-structure material design

Reference 6

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raw_fallback, observed 2026-05-15T00:03:20.923726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:5906f7a6bad61ecf93b5c33d4c1ebd7f8de2285b28fbc80b15a0a4df4153032b

Observation dc9bacd3-fc45-49a1-896f-705bf1d23620 · outbound

This paper cites Dmflow: Disordered materials generation by flow matching.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Dmflow: Disordered materials generation by flow matching

Reference 7

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arxiv_id, observed 2026-05-14T21:17:59.182238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:13c24eb3f6704ed835032cd6281bc59c7a01baadbf96b04abd52349b2f287c8f

Observation 36b9c2a0-cad0-4e99-bd10-e7d2e0d1feaa · outbound

This paper cites Constrained diffusion for protein design with hard structural constraints.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Constrained diffusion for protein design with hard structural constraints

Reference 8

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arxiv_id, observed 2026-05-14T21:17:59.187698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 336028c2-2a0f-4ed5-81f6-b7c0b70ee718 · outbound

This paper cites Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models

Reference 9

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arxiv_id, observed 2026-05-14T21:17:59.105074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:efe8a2de0cc7cd3e47245cd4e8a492e0a3192348215bdc7503556093a3b4fe06

Observation 6e762884-fdcb-428a-b908-7e0e8ac7c722 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Equivariant diffusion for molecule generation in 3d

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:2024ae8065581e32c03513ea97e5184fc2aa0b6347dfd2bcf28fe9959cab2a99

Observation e3ef3ed0-c975-45dc-8eef-cadfbba62668 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 11

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raw_fallback, observed 2026-05-15T00:03:20.917714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 03b9b7d3-3493-4dba-b782-d7b70e2ed6b7 · outbound

This paper cites Diffusion models beat gans on topology optimization.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Diffusion models beat gans on topology optimization

Reference 12

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raw_fallback, observed 2026-05-15T00:03:20.919522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:6b876d73c03047bac985f80430ff608f47174ff9efd20d44084ca22f6660c973

Observation 2a3f36e4-5f15-49e1-9cb1-61dc06887aea · outbound

This paper cites Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models

Reference 13

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arxiv_id, observed 2026-05-14T21:17:59.086818Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:d01e117fbc367649cf23edeb63255b9f6f241e8c147d02d0f757413f7e26e4f5

Observation de76d422-d920-4789-9bd8-abff34625b70 · outbound

This paper cites Latent Generative Modeling of Random Fields from Limited Training Data.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Latent Generative Modeling of Random Fields from Limited Training Data

Reference 14

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local_arxiv, observed 2026-05-14T21:17:59.114426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c5310a5a9e72785a4f9a53937643ba15faa4d5781b87b1f0b938f7f522671ba3

Observation 32544ba7-eefb-47e3-9888-422da39cf318 · outbound

This paper cites Physics-Informed Diffusion Models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Physics-Informed Diffusion Models

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-14T21:17:59.109893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ff659689fbfeb6544673f03d761e7b81a4e238df5c25deda99f41419be3868e9

Observation 693206ab-dd78-4a5d-991c-7fb0c4d4ea1b · outbound

This paper cites Constrained synthesis with projected diffusion models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Constrained synthesis with projected diffusion models

Reference 16

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raw_fallback, observed 2026-05-14T23:59:36.446556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7374cde4-3312-40af-a09d-d135f22be23a · outbound

This paper cites Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models

Reference 17

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arxiv_id, observed 2026-05-14T21:17:59.046638Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e745465b-80fe-4db2-b5e6-a5772b775a9f · outbound

This paper cites Physics-constrained flow matching: Sampling generative models with hard constraints.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Physics-constrained flow matching: Sampling generative models with hard constraints

Reference 18

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arxiv_id, observed 2026-05-14T21:17:59.127414Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:60d2467c441ea7cfd1697e5166462650e4cb353487fc6aab112d5709aed3b4f5

Observation 24e9ed37-f57e-49b3-b261-15bccd14fdb5 · outbound

This paper cites arXiv preprint arXiv:2502.05625 , year =.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling arXiv preprint arXiv:2502.05625 , year =

Reference 19

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arxiv_id, observed 2026-05-14T21:17:59.119722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a90175e2-1c77-4c7f-aa42-c0715ef20fee · outbound

This paper cites Gradient-Free Generation for Hard-Constrained Systems.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Gradient-Free Generation for Hard-Constrained Systems

Reference 20

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arxiv_id, observed 2026-05-14T21:17:59.042419Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 741c4382-2024-416b-ab20-3a21fb95d540 · outbound

This paper cites Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization

Reference 21

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raw_fallback, observed 2026-05-14T23:59:36.428577Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 377c930c-ee82-42a0-a97e-77f5e94d9f30 · outbound

This paper cites Satnet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Satnet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

Reference 22

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raw_fallback, observed 2026-05-15T00:03:20.911859Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6f271a3f-16db-4794-ae5b-271bd73a2834 · outbound

This paper cites Ferber, Bryan Wilder, Bistra Dilkina, and Milind Tambe.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Ferber, Bryan Wilder, Bistra Dilkina, and Milind Tambe

Reference 23

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raw_fallback, observed 2026-05-14T23:59:36.432088Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:2eec281047b6b0a9562587ff12d9b58472e88574cfaf16e296a8cf3146910edf

Observation 876c96d9-02b9-4d1a-afb8-2b935995cf64 · outbound

This paper cites predict, then optimize.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling predict, then optimize

Reference 24

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raw_fallback, observed 2026-05-15T00:03:20.907783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 16e93c85-c057-41c8-a55a-f6e7f7169f11 · outbound

This paper cites Differentiable convex optimization layers.Advances in neural information processing systems, 32.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Differentiable convex optimization layers.Advances in neural information processing systems, 32

Reference 25

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raw_fallback, observed 2026-05-14T23:59:36.423073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5ebd0b49-7bfa-496e-a5b3-7f5e008a4709 · outbound

This paper cites Learning with differentiable perturbed optimizers.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Learning with differentiable perturbed optimizers

Reference 26

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raw_fallback, observed 2026-05-15T00:03:20.901245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:886832a48746a4369a0e30d06fe688e08b4ca9d1a7864664ee436a61222f913c

Observation 919ece2d-9537-4001-b3d0-124604353432 · outbound

This paper cites Learning with fenchel-young losses.J.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Learning with fenchel-young losses.J

Reference 27

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raw_fallback, observed 2026-05-14T23:59:36.420225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ebc1558d7d9b77849b548bb8bed6d4474ce51793c01cd9e509650ae00ce8fd44

Observation d5e8763f-a201-4228-891e-3cd14b89eca6 · outbound

This paper cites Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, and Yuandong Tian.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, and Yuandong Tian

Reference 28

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raw_fallback, observed 2026-05-14T23:59:36.444009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:afc51c281ff682d12f8cbbe70854e79180c5f8c90c6ee9ac5cf4145c800d236c

Observation 80b793cf-f1b7-4c39-9512-6a36a496d8bf · outbound

This paper cites Fast differentiable sorting and ranking.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Fast differentiable sorting and ranking

Reference 29

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raw_fallback, observed 2026-05-14T23:59:36.449233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:a3e7d6d9f7e02c5825e75e40c80e8848475aef3ea991adeb0e3b077da141c229

Observation 8bc6b7ff-e304-4eba-a4f7-b672541e037a · outbound

This paper cites Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Reference 30

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arxiv_id, observed 2026-05-14T21:17:58.221477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:cf266bc020cef1dad17507c10d387adab4f99ce690250247533baa09335ed724

Observation 74becd60-4477-4535-a221-53ea76cf19c6 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 31

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raw_fallback, observed 2026-05-14T23:59:36.353733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f1ef4c22c7d38290e9a53246875ba8943d0a9a30912c6f17db4ba5d6851d7ca7

Observation 047d1668-1c7f-4599-b416-1fc4c7d582e4 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Classifier-Free Diffusion Guidance

Reference 32

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local_arxiv, observed 2026-05-14T21:17:59.079851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:50f81aa3124e1b5569d915fa47e1fb704e313fd0efb064c61ae1f4dd96bb67c8

Observation 5376ca60-f3d9-4ede-900f-3bbb69af18de · outbound

This paper cites an unresolved cited work.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Unresolved cited work

Reference 33

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raw_fallback, observed 2026-05-15T00:03:20.903599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:623720aed64bc6045f104413d84a769fb03426ece8ee2f36eab883a72ed8e8b1

Observation cea20811-8386-4a0f-b013-86469e93a19c · outbound

This paper cites Hidden physics models: Machine learning of nonlinear partial differential equations.Journal of Computational Physics, 357:125–141.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Hidden physics models: Machine learning of nonlinear partial differential equations.Journal of Computational Physics, 357:125–141

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.356505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7fab53f1a09be79d738fbc802ac1fb0dbe33f45942441e0c03a49b72568125e1

Observation 23ed9ef3-91f9-48e4-8116-3dc5282644c8 · outbound

This paper cites Flow Matching in Latent Space.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Flow Matching in Latent Space

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.062515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:fc4b62fd1b0b8fcdd15429f071660b9576b6a9321394d9bb599f06ea726cf123

Observation 99b309c5-620e-4e71-910f-f05f4ae3ff1e · outbound

This paper cites Chance-constrained flow matching for high-fidelity constraint-aware generation.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Chance-constrained flow matching for high-fidelity constraint-aware generation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.069243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:027b9506c022abf67521803dc96d75fe4c5f9dfc6c955457917e896a2374b5f7

Observation 3f720f7a-cd89-45ea-b293-c4c0173d5c23 · outbound

This paper cites On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:17:59.058097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ab38150b76c05e9bae3bab98238b98392ff32e2d388e51cc648712a4ec9d2a48

Observation 7d4673b0-348b-473f-b18f-61115a8c239a · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural networks.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Optnet: Differentiable optimization as a layer in neural networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.350859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:edf27d59523dd9c648118606005ef331445e6fa9c46aec54eef34670d0e8943b

Observation 62f8e925-5ba1-4f2d-b5c6-35bb808afa9e · outbound

This paper cites Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.092382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f28fc460076750e05f708c7bbd220415c9cd6bc9bf3a21c28f846ae11a8ca929

Observation 2f97cb5c-a71c-448d-b546-839642b794f0 · outbound

This paper cites Interior point solving for lp-based prediction+ optimisation.Advances in Neural Information Processing Systems, 33:7272–7282.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Interior point solving for lp-based prediction+ optimisation.Advances in Neural Information Processing Systems, 33:7272–7282

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:03:20.905806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:8067e51ff0cbcd0790069289930daff75bdf2f93171f2034da71e6f014bff939

Observation 0b29590b-9c3a-404b-a53c-dbf1a310d6e7 · outbound

This paper cites Mipaal: Mixed integer program as a layer.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Mipaal: Mixed integer program as a layer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.345446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:13062f5a446bb0ec5efb2ce77ee6e484109d397d489feb655d8633add62c2052

Observation c8771cce-bbd9-4cbe-9521-2dcb7b66b43b · outbound

This paper cites Differentiation of blackbox combinatorial solvers.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Differentiation of blackbox combinatorial solvers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:03:20.909820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:5138d746a62fa9b685f992368231bf3bf4fe7ba060ffc5af57ec24155ebe286b

Observation 7f7e2147-a96c-4f8f-8041-2be0ed7062e6 · outbound

This paper cites Backpropagation through Combinatorial Algorithms: Identity with Projection Works.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Backpropagation through Combinatorial Algorithms: Identity with Projection Works

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.038364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ea68c045064da2e9dde94a6ee97233ebe6ca90bb1d33b5f233bef756b47156c6

Observation f8832a17-2665-42a2-ab1d-8f4b6149aea0 · outbound

This paper cites Implicit mle: backpropagating through discrete exponential family distributions.Advances in Neural Information Processing Systems, 34:14567–14579.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Implicit mle: backpropagating through discrete exponential family distributions.Advances in Neural Information Processing Systems, 34:14567–14579

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.438303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:a9327409f7279a8048b7cf0f089d153d0d067284f3d181ec3374686b69e90f2b

Observation 77a73ea4-b10e-4d8c-ad5b-d2fa4b01dc97 · outbound

This paper cites Efficient and modular implicit differentiation.Advances in Neural Information Processing Systems, 35:5230–5242.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Efficient and modular implicit differentiation.Advances in Neural Information Processing Systems, 35:5230–5242

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.441295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:fc8d74fbca92766c3273cfff356a7f57fde9615e0521c4b14c53d8be59e84ca6

Observation d4094383-ced9-4722-9395-76d332616632 · outbound

This paper cites Flow Matching for Generative Modeling.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Flow Matching for Generative Modeling

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:17:59.073519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e42346664a5d9d0f42b8a3acab3d1dbc3546906efded6c1d31663c6c3a239921

Observation ded54bd8-f435-4ecf-9658-89969b50ab29 · outbound

This paper cites Strictly constrained generative modeling via split augmented langevin sampling.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Strictly constrained generative modeling via split augmented langevin sampling

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.032719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7fada8574f4b3352b042f2ad42e67c7c5c04e9b661cc6576a6d94b2267667691

Observation 2cc9309b-5e26-4bb3-b12d-dc6967e76aa6 · outbound

This paper cites Decision-focused learning: Foundations, state of the art, benchmark and future opportunities.Journal of Artificial Intelligence Research, 80:1623–1701.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Decision-focused learning: Foundations, state of the art, benchmark and future opportunities.Journal of Artificial Intelligence Research, 80:1623–1701

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.339583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e9bda4a0e27f34903369f4b75fd0b6fed4c97af733ae9eddbe1a315ca581d226

Observation 2cbe9f86-dec0-471a-bf2e-b65d671a52ef · outbound

This paper cites Toward optimal energy management of microgrids via robust two-stage optimization.IEEE Transactions on smart grid, 9(2):1161–1174.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Toward optimal energy management of microgrids via robust two-stage optimization.IEEE Transactions on smart grid, 9(2):1161–1174

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.452097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:4886f90f861e699a44ca94cf1be200eaea512d9182a7354da8fc3b0cfd8d3459

Observation 454e95dc-8575-4e6f-92c5-570590dee4e4 · outbound

This paper cites An investigation into prediction+ optimisation for the knapsack problem.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling An investigation into prediction+ optimisation for the knapsack problem

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.425838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:93234bd952c9490f9ad52022cc77b25ee70c84302f826ee07c148db878bcdd4b

Observation 9ceb0273-45e9-4982-9db3-d46601ca41f8 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.435144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:3aedb5bb1a109561cc631a87e1b754015cde0eae2b5bbb2eb7308d3838fdd151

Observation 1fd84e03-9507-43a2-8c4b-2b6efbce165a · outbound

This paper cites Functional Flow Matching.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Functional Flow Matching

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.052276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e0e12e53db3f0e6cf6492e5edb6fa063195e31d2bca7a422d92e692e8612b452

Observation 2b67bc68-6b0f-4ded-b574-7e3a2acc0424 · outbound

This paper cites Sensor fusion for autonomous orbit determination and time synchronization in lunar orbit.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Sensor fusion for autonomous orbit determination and time synchronization in lunar orbit

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:58.228514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7b62472a3fd8956d1a8ae9f847edb4ee10ddde38d74ad3cbd17e46cde1fc8049

Observation 8a47ee33-9ebd-4a61-9118-a89384504d9f · outbound

This paper cites Review of wind flow modelling in urban environments to support the development of urban air mobility.Drones, 8(4).

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Review of wind flow modelling in urban environments to support the development of urban air mobility.Drones, 8(4)

Reference 54

Resolution
verified exact
doi, observed 2026-05-14T21:17:58.224497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:d2f8462bc4e949512c94b1be1568fe5d7a7e2794aa6e96a6bfacabd2ed2726d3

Observation b42d1f46-7ef0-4395-a04e-80f678ed44f9 · outbound

This paper cites Monte carlo simulation of wind velocity fields on complex structures.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Monte carlo simulation of wind velocity fields on complex structures

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.327939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c0c1a591cab0ca71b89a2535776a5f9ace36b84e8e404a5f334a4b536b0a45d7

Observation c72d7b7d-f4a0-4d6a-8630-e4b7b103aa53 · outbound

This paper cites Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.Scientific reports, 10(1):13307.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials.Scientific reports, 10(1):13307

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:59:36.331198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:72016abf56072a134c56da38868c5248ca28df9d261863152b31bac98455a4f3

Observation 8c5b931e-6855-4940-b2d1-d7e571c0fca1 · outbound

This paper cites an unresolved cited work.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-14T23:59:36.454476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:9f9e262c1b1eca10c89b46c0c0fb81456f14a856d00406e15907386f1599d67d

Observation 99dba7b1-e21e-42b0-a242-9ea6b2f360ea · outbound

This paper cites Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:59.155222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:67759de527a3849aa7c692060472f8f1f5c6cdb5b9ab1a6211f731624a891547

Observation b44eeb6f-2004-4215-a6b3-2f8d4c9aed6f · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:17:25.491231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:70abcab08ab738b0ec55537c67dfa0350613322ee56b68a1bcbc181752644873

Pith citing papers

Observation 7f42386f-5074-4d74-b50c-e1a33478009d · inbound

ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation cites this paper.

ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T02:10:24.773490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:10:24.773490Z digest=sha256:604e83f3fd41647be1cdf3de865457605ae8c383ae7fe655e6f41b57f5610367