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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:e8f2bf6dcfba6bb63d97271449f99846efb2e4f8292f82d0e145a7a488c69bdd

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:dd8594f74db9e2b8a3f2d803e4b966c89b14a33baff43801ff17ac34689f1725

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:dedc5add50f46d79b0b30d3abb610e77adeaf942d817141f92451ada7d309e04

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:eb4af52ab26923cf310b3d6cad805e77356972fe2d075e2a42257d443381015c

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=sha256:496ca125ab233e3dca8cedb9eb44852c37033680870f77d52725896f77232504

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:df98860b4b5113007983ef651c243c6bb4354b2e13b7be6ac5531b160fa9e587

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=sha256:57e4849ac3100beeed77b825cf8a5b720fda9428f0582d2752e8b81282422ed6

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:fff987914a3c3d295b9dda58dda111a77166b46b55c846599cd0b574bd462e9f

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=sha256:37326284ddbb1bd3932de571bb24ef5bbdbbff0e3525219f9e5f7bab307db6fe

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:f806355d95e1cbed6bad76f85dcb3a0a195b9709616834f2687a7b5421a61ac9

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:aad4eab4fbd6aba1e0ba752193a49a9478067c085f0a76e23eb04de55b43e8a7

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:bea6c777eeeafb0b12043993d6f55f24333a631f4ecdafe60553a79f2585f19a

Pith citing papers

No inbound Pith citation observations are available.