Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:03:20.925738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:3ff231f6be33a9f9872e1cb3e67ebecbe398b772b7add424fc072f5cae3a7c90

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ccd032b4a626734eedca4a1d88e5ada4c9e447411c358d9f32073deefd971195

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:93f49622cc5263dbee509699152e34a4455f229726cdb4e501f4b429cd95d683

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:03:20.921554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:24e9899201f186cc47728df813acd47bb8e20a155b2f717030528ced4287b335

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c2ccb58018567d45424d84419a9c9fddab34a5766e1de7e471e26e3b67aac3bf

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:5e567dbadf10b1b84832fce2310657a9a51927d1d13ace1b314d0c65cbe07892

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f7567abe98673b0d07736c967b32396d6626ff0473dd6deaa3e5dde93c336dbb

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:05f0a71f9147fdec803b62d0edf5cd6c46a3e33fa4135b42fd28e285939da4f4

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f63c3103bb9254530464f1c13f9c24ec585c948791a3a9e4dc113ab28c72dfd9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T00:03:20.915479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c8e3f9650d22b58d52e542be0bb959883175c6ea7768237f2034a0f21d041eb7

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:fd2dc8c28e0b71f627f7d1be225ba3c3cabbec969fdda3e430cc72454f26afb4

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c93153d19c2e12710bd39a68f39f4ac9d7be4a23942b8c836a2d4bc509bcb6c2

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:49492b94d850a46a8c20e74260d399c098d560a580b54188bef5d3bf3485071a

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7c5b53d5e965c6dd8e549b2cd85b4a72df185fc05887a9ac945d0af5ba473fe9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ff60488ae8db68e0ce2bcf67b028e0e63825b3d2353389e4dade97f814bbb68d

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ccd4d7ac6b460cdb7ea243dd407dda5f923b22b8ca8fe49f8c84f8fe1ab817e5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:239c1408b408fea03ae5a4f1a99026e703a9c6c7207c3167b95f12bf08e0f3b4

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:caeadc15c61e3b4ddf8d8bd3a0935922e19303515dc64a362ccd7687a5f4681e

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:87e75d27c150040a1ffb60d22205ae5983d6f5bf47132360980633051a9e06c1

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:2d081508be7068eccd1c1329a6e001e7bd1c3703dad3204f8b63eeccb639d205

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:368f6534988a53107c73b76bf08ab302b72a5b4504d75b482e1ec0744d690241

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f0f5edc311b94d56b7642a78c1627c97dca0e3e3d7b61a4660f0fa30d5c8029c

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e7984990eb0bc2fbe0d8b93e9ec51b7aad77b1c23e284edff67012bdc9f9c60a

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:a64b80d443d772c2ce1f897929ebb6a66291dab301e3ad74331c484fa212fe13

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:ca8371bd4cf4336fcb5279179f8c91fd4dfec547b1d1ff35dcade37e25a1f750

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:cae71a9b35ec1b6780c3b6080747cee970c0934f733628f9f0a08318ad1386c3

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e9b6c3811c9b029764feddf2638c43c0f3cdd4a9cb291daa61f7f4d778d4fa6d

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:f9e291108cf1934bae15eb20cf29d304e19c181ba94abfb2ad7de9ab3a3fdf98

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:dbe7f118a58839293d122ecc62b13b54f9c2c2501a65c61e03a34c3ad2102ebf

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:d408a34467ecfebe85d449e983d88f1db7bc4f60632b3410882fb172acb9fa78

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:01f0d343cf950a74f789feeb184fcb1106263fe7c41055044c88f41bcdb2010f

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:0cb783b7c9519da7405dfb9cd79df656d2dffc5c22cedc1d96bd3bf1ca3060c0

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

Resolution
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:442ba83ac72983c3d67073226bff440fe141df3b446f9dc3486a647a3527a810

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:33b29347aee38c6090e98e9248477136953feb35d759a21344b873d1f00266c5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c8a6586529111d863f63d476216c9b10d48aadc739581fd2bb6d056d44cf116f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:986cde9da4f3a6a251ed0889b919f15db619015b319a6f7992b0ea9999f9c08f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7db6110a867919608528f9e8f6e37e35e8f3f9f187a920438bfef18993d65267

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:a663440dedd19a27c8e6c72c0ff4f75ad08bcdfeb364726d2989887b45653d71

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:6d184b4b46dabc62c9a9780c3a8fcd13b785e2c7652bd0667102866bb24444a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:6d62bf482a0e9b1fedff30ea207739dbdefbbb56a499c779a9e1cda439db287e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:b84aa140a9212249dd9cdb502572ba9810c848123d4cb0d7253113020aa6c3cd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:6ddf408f8cab0c8ae4f1116305e8252266e88c0bc740dcae79d5270962c5a05e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:c2d2cafedf981b3b3bf89328ce300e5ac6115cdf51281dcf6fd583b93c28d1be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:70d2d9de02ed84055aa29598a6bef26a4ab826ccd690a40b8fee207ffa32c780

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:0d6c3adf34bb6d67d4003e3dc477fbb290bfd1b4d36768fabd21da6f09afddca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:e48426dd0f8aeba20432ee8f42a39d2a33f6262d5ad1abac8356b86bbe3b4712

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:333e47bfd90abe83703ad449c2ce86ef15afd5e93bd187edba70c4b197b9cb79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:003341f66d3c276c903ba4187dfdb49f4982043b5b40f1e5d16c55df52269d9b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7747d78cd766f1c0446d05ff6424022804dc16f9cc6906a0a548a04fe1018cc2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:00ffa56145c7ba2b079f4e86f401886c907ceeab630f8b3d5cfad8e252d71f27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:432328f4e0db57747e0492fb9fce82e0d431fa0e5465f21495acc943417df9bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:d91f4366ebb4077140265c0de3442424c3b6bbde67bd99cb8c816de91fecb5b2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:991406362d6ebcaf409dbd18675cb45d8ff674bb62263d12ac24157e69440db1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:0c0c2b6dc4ee74cf250c2b7971f7f756643a931a433255ed5955d7a8b9eed903

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:d2cfcdd0e43e689c49e764b11e1db1cf7c295bbb87e6420f8479650fc132a1f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:042c15068bbc98a8fec68f6d7259f37ccbd5bb316a1f993b4d58ed55b4c624c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:28fcd59d339a08aa0cece153f79f0a1aa5a274d5258672fccdb5521814a0e65d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:7d71dff09546bfc035462380192f7da49fa19afe49309e913cfbf82b47f8af94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:16:07.851540Z digest=sha256:69e28314988e518cfc3f982728b6166b9b5f2c0d2bd56a381df2620f63877c45

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=sha256:56cee34df494440f230a9d639f1d22e940fdd3735cf903cb426819bedb0802f0