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Paper Citation Record · LEDGER

Generative Inverse Design with Abstention via Diagonal Flow Matching

As of 9 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 2026-08-09T06:31:02.800959+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:eb2b7f176d9280311720614cad05e2e4aa5fcdbe98725bb54016f2fc94fa9d50

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=sha256:17ebdba32b882c585cc77c789a290a4384b47256642a231c313f1a68fd7441e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-14T00:06:22.766762Z digest=sha256:7c4bf7a7c652ba24070e0cb2600913baeaaf0cb16ef27c604f041a2af534b236

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:dd80b14d6ac99ca881852d29955f66ea06124742a428e1f0e83d92e735c4f820

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=sha256:4a574344aaaa070cca61b1334b07397d50a8bc5128ab371735830a2c8fca360b

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:bd771b37098cd686fc88bd29e268c9d09f35af9c3d83cfadaf31847c7d85e41b

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:ef061bc57ed3d20eb78396167f72a9c43aa7c09927f777c4c254a12fa291f3c9

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=sha256:9feaf1e479a9bdf0f497f2a0cada666583e816ed720bd84187743eccdc68f01f

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:f6ff64f52994a722a3bcc1d5793ae7d9e76b960ddde97d94ec5ebf60220cba8c

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=sha256:8eaae9c7bbe22d95878a3f9c20605fb6dac3da8c4dac7e87ab8dc9a8c49b4308

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:a72c7c58c7406caaf495bb99b1ef2c2d1adabf849b708386e0fe6cfec51d55ae

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=sha256:00a8a37ce54ffa13fc68a255e224835798bc03c6f92c4886735894caaa0b289c

Pith citing papers

No inbound Pith citation observations are available.