Paper Citation Record · LEDGER

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows

As of 6 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2603.05093.

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

pith.paper-citation-record.v1
2603.05093 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T16:04:12.618673Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

11 of 11 outbound references displayed

verified exact5
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73542e21-7a71-4b4e-86cd-ef78c07c00d5 · outbound

This paper cites Shapley explainability on the data manifold.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Shapley explainability on the data manifold

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:06:14.559336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95606cc1-219c-4f58-aac0-1a42ee10c475 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:06:14.579503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a685a1e-eebe-418f-8fcc-ecb8c8a14ae5 · outbound

This paper cites Flow Matching for Generative Modeling.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Flow Matching for Generative Modeling

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T16:06:14.572404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8a77027-7b8f-4288-a634-a9ee9eefeffe · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:06:14.546463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 14479976-a56e-4d25-9451-a02212800af2 · outbound

This paper cites URL https://proceedings.neurips.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows URL https://proceedings.neurips

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:06:15.015856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbb646a5-e3fc-4a8f-a58f-0e2bcfe25d09 · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:06:14.539160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f2c6c4c-73f4-4dff-933b-7a0090f41c4a · outbound

This paper cites SmoothGrad: removing noise by adding noise.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows SmoothGrad: removing noise by adding noise

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T16:06:14.552731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 953eb21a-fe10-46b5-bc0e-d8892ff92457 · outbound

This paper cites Denoising Diffusion Implicit Models.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Denoising Diffusion Implicit Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:06:14.565473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f36dbba6-8282-41cc-9e66-022ef9189f40 · outbound

This paper cites Caltech-ucsd birds-200-2011.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Caltech-ucsd birds-200-2011

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:06:15.029902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 421286f9-662e-4961-8120-31c3786732c9 · outbound

This paper cites Our work generalizes this by relaxing the straight-line requirement to allow paths induced by generative flows fitted to the data distribution.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows Our work generalizes this by relaxing the straight-line requirement to allow paths induced by generative flows fitted to the data distribution

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:06:15.020659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e7420c8-b219-4f7f-95b8-51c72103fbe4 · outbound

This paper cites (Top-right) Relative ℓ2 error versus integration steps K (log-log), matching the expected O(K −2) convergence of the midpoint rule.

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows (Top-right) Relative ℓ2 error versus integration steps K (log-log), matching the expected O(K −2) convergence of the midpoint rule

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:06:15.025256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.