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Paper Citation Record · LEDGER

Generative Inverse Design with Abstention via Diagonal Flow Matching

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2603.15925.

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

pith.paper-citation-record.v1
2603.15925 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T00:06:22.766762Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 128fc59f-2565-49a0-8fc3-2b1316ae6a88 · outbound

This paper cites Lu-net: Invert- ible neural networks based on matrix factorization.

Generative Inverse Design with Abstention via Diagonal Flow Matching Lu-net: Invert- ible neural networks based on matrix factorization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:b4427b620afad158dcaddbecbe2c98532a6770ad92b0efb749402782db2c6668

Observation c7bfdb81-6146-48a0-9716-18d3e2c097e2 · outbound

This paper cites S., Melanson, B., Somasekharan, N., Pan, S., and He, S.

Generative Inverse Design with Abstention via Diagonal Flow Matching S., Melanson, B., Somasekharan, N., Pan, S., and He, S

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:6c84409a3f72d22515d11c15aece0887390ba90f1a1fb26d1de8a6e1d6dceb57

Observation 974e1a4a-5f61-4b2c-b990-c213247beb27 · outbound

This paper cites doi: 10.1115/1.4066294.

Generative Inverse Design with Abstention via Diagonal Flow Matching doi: 10.1115/1.4066294

Reference 3

Resolution
verified exact
doi, observed 2026-07-14T00:10:05.611275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:51866787fd4da3b4a40398821375046898f5ce4a839df08ecb6283491fab262b

Observation 1f012ba7-6520-4b0c-abe5-f144368b4479 · outbound

This paper cites Flow Matching for Generative Modeling.

Generative Inverse Design with Abstention via Diagonal Flow Matching Flow Matching for Generative Modeling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:67dfadd9b5f8275837bc65b57192d17197aed8b157c83b12669715498a03a3ec

Observation 1d75e5c9-3e5a-4f9e-a936-55a71de6aa40 · outbound

This paper cites Multiscale Score Matching for Out-of-Distribution Detection.

Generative Inverse Design with Abstention via Diagonal Flow Matching Multiscale Score Matching for Out-of-Distribution Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:8111597db08a2046bcdfc3618d92b1308b6b8a8ec2575f6d7d0d48068367fe0d

Observation 0d65c7da-e260-430d-ae7d-7ac000abc60f · outbound

This paper cites PhysiX: A Foundation Model for Physics Simulations.

Generative Inverse Design with Abstention via Diagonal Flow Matching PhysiX: A Foundation Model for Physics Simulations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:8c4adfcfbd4a09df9b6d9d12c8ac05196181e504816bd8ed865546fc9cd39972

Observation 03e97b8b-9654-43f7-a7bd-fea2285cd456 · outbound

This paper cites Hallucination, reliability, and the role of gen- erative ai in science.arXiv preprint arXiv:2504.08526,.

Generative Inverse Design with Abstention via Diagonal Flow Matching Hallucination, reliability, and the role of gen- erative ai in science.arXiv preprint arXiv:2504.08526,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:a5202d11ca911191423f42392565124013341755504835d6591b43ac0fc1d65e

Observation aae8610a-9288-43ad-b8ee-b02308caba96 · outbound

This paper cites Sekar, V ., Zhang, M., Shu, C., and Khoo, B.

Generative Inverse Design with Abstention via Diagonal Flow Matching Sekar, V ., Zhang, M., Shu, C., and Khoo, B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:1251b5998d68077ba3c394d562ff62681c97a814a114cd72a08a6af7f27907fe

Observation 2d920dd1-bd89-4565-bec4-cbf28fc694e6 · outbound

This paper cites LLMs for Engineering: Teaching Models to Design High Powered Rockets.

Generative Inverse Design with Abstention via Diagonal Flow Matching LLMs for Engineering: Teaching Models to Design High Powered Rockets

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:6b1b18e74a716fa31ed5a77e51a7a85b9409ccf972d75722790d3b513f05114b

Observation 597f5112-ef12-4284-a2ba-95a48fc75819 · outbound

This paper cites Dflow-sur: En- hancing generative aerodynamic inverse design using dif- ferentiation throughout flow matching.arXiv preprint arXiv:2512.08336,.

Generative Inverse Design with Abstention via Diagonal Flow Matching Dflow-sur: En- hancing generative aerodynamic inverse design using dif- ferentiation throughout flow matching.arXiv preprint arXiv:2512.08336,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:b3ef0105a61a395c69e79118acec3909e117daf835c6f84b213719b723649938

Observation cf2a1458-bfdd-47d7-9d95-fbdd6fd01208 · outbound

This paper cites an unresolved cited work.

Generative Inverse Design with Abstention via Diagonal Flow Matching Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:f30bc08e46e70ce6fe9bd932e99c552e016e103405775c7edd4a118d53d2dbac

Observation ebc7047c-ac4d-4138-bae9-d90dca690552 · outbound

This paper cites distance.

Generative Inverse Design with Abstention via Diagonal Flow Matching distance

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T00:06:22.766762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:ee1e60335a98474530e8dde2e95b79b4bd345346604b5d9e491d08c58fa2a5a4

Pith citing papers

No inbound Pith citation observations are available.