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Paper Citation Record · LEDGER

Generator Based Inference (GBI)

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2506.00119.

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

pith.paper-citation-record.v1
2506.00119 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:20.016323Z

measured 32 of 32 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:29:14.997432Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:29:54.959990Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e097e12-04ff-44f6-9480-491d796b62cc · outbound

This paper cites Cranmer, J.

Generator Based Inference (GBI) Cranmer, J

Reference 1

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raw_fallback, observed 2026-08-07T12:16:21.935072Z

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=2026-08-07T12:16:18.397985Z digest=sha256:fe3af5940c045eff472417025cf2e20be676344edc8af67598fe2ae9d9cfcb4b

Observation 43ae0c77-60f0-46b7-82c0-63ebfe105f30 · outbound

This paper cites Presenting Unbinned Differential Cross Section Results.

Generator Based Inference (GBI) Presenting Unbinned Differential Cross Section Results

Reference 2

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source=pdf_text observed=2026-08-07T12:16:18.467305Z digest=sha256:dc80c88f98155d33675fa878c88631719833fba79e5958b52e43f402756448c0

Observation 15798d3e-a681-4ba9-a69d-584ea7a0142d · outbound

This paper cites The Landscape of Unfolding with Machine Learning.

Generator Based Inference (GBI) The Landscape of Unfolding with Machine Learning

Reference 3

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source=pdf_text observed=2026-08-07T12:16:18.534791Z digest=sha256:f9278074f42c128919ba69c33e6b7aff4290faf4c99e975286c39f18dd2f5b77

Observation 3f3da241-e485-49d3-a9ff-f4b986df5207 · outbound

This paper cites The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

Generator Based Inference (GBI) The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Reference 6

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source=pdf_text observed=2026-08-07T12:16:18.593482Z digest=sha256:6e36cab4d1f966eac5e4e94648f2cdbde465b020e935f26a7c76733a6b57fd2c

Observation 5a9865a5-35c5-44e0-8581-01e9a7e25389 · outbound

This paper cites The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider.

Generator Based Inference (GBI) The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Reference 7

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source=pdf_text observed=2026-08-07T12:16:18.660831Z digest=sha256:202c48633fb976e04200d511d941a07c04d9287336297231856d2364fdd0fd0e

Observation 9304c45a-1966-457e-b366-ace0a0667462 · outbound

This paper cites Machine Learning in the Search for New Fundamental Physics.

Generator Based Inference (GBI) Machine Learning in the Search for New Fundamental Physics

Reference 8

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source=pdf_text observed=2026-08-07T12:16:18.730450Z digest=sha256:6a92a5767fed595ac20b184b0aaece999702b7f5a2a3e4e7d2ce2bbfee054acc

Observation c29431bf-c94b-4729-a9bd-748a08d95ac4 · outbound

This paper cites The Interplay of Machine Learning--based Resonant Anomaly Detection Methods.

Generator Based Inference (GBI) The Interplay of Machine Learning--based Resonant Anomaly Detection Methods

Reference 9

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no resolver link, observed 2026-08-07T12:16:18.799879Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:18.799879Z digest=sha256:b5ed329ca7f0fda3a6f59dedc0f09b3ed7fc655214674606ec045faf8589a02b

Observation 3ff2ccf9-cb88-49c4-b388-ffe6e446d05a · outbound

This paper cites Machine Learning for Anomaly Detection in Particle Physics.

Generator Based Inference (GBI) Machine Learning for Anomaly Detection in Particle Physics

Reference 10

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source=pdf_text observed=2026-08-07T12:16:18.857982Z digest=sha256:65bce80d312db0b4e71d7bb42c66a80fc97b1aff793417efe75dc3021f8c145f

Observation a5143387-c807-48dd-bd2c-a381abd11663 · outbound

This paper cites Residual ANODE.

Generator Based Inference (GBI) Residual ANODE

Reference 11

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source=pdf_text observed=2026-08-07T12:16:18.927943Z digest=sha256:739e3d2f763a591e8e226e28423e8f0e026830538f93fd7db4f61c2d115b4fcf

Observation 6cac6be4-2c8a-45ab-9f33-3277f7901d2b · outbound

This paper cites Incorporating Physical Priors into Weakly-Supervised Anomaly Detection.

Generator Based Inference (GBI) Incorporating Physical Priors into Weakly-Supervised Anomaly Detection

Reference 12

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source=pdf_text observed=2026-08-07T12:16:18.977480Z digest=sha256:4f63543d3863be6bc1aee65d05e66a8500587e553ff40bca519eaefd84c34259

Observation fa085139-82f1-4137-b9ba-82cd6342379b · outbound

This paper cites Anomaly Detection with Density Estimation.

Generator Based Inference (GBI) Anomaly Detection with Density Estimation

Reference 13

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source=pdf_text observed=2026-08-07T12:16:19.073762Z digest=sha256:84356e32e68a060901b4c95ef28ef4aaa0f9c7a8bce75bf43eecdd7b1f2845b7

Observation ebe4ca20-b436-4050-89f8-0dcae556dd39 · outbound

This paper cites Classifying Anomalies THrough Outer Density Estimation (CATHODE).

Generator Based Inference (GBI) Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 14

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source=pdf_text observed=2026-08-07T12:16:19.079241Z digest=sha256:42a3b40f720967d5b40b2133d7b00b5743b73c98f5b5f5fe5828ed3e2b79c0ef

Observation 2ca3f16d-3ed2-4889-a04d-4b9cbd3753f1 · outbound

This paper cites an unresolved cited work.

Generator Based Inference (GBI) Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-07T12:16:19.094546Z digest=sha256:79eec80cba5bf10795e67d2ae093d32f0ea5599c680a095db41a7935487aa653

Observation b9641cf5-e811-4d52-8149-d04437f53f78 · outbound

This paper cites Flow Matching for Generative Modeling.

Generator Based Inference (GBI) Flow Matching for Generative Modeling

Reference 16

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source=pdf_text observed=2026-08-07T12:16:19.129081Z digest=sha256:5e4f1b824d3e83b5f150e0996c1461a48d3c219e0d3b3516f9da66b8eb54cd3a

Observation 1b8af21a-150d-4794-a98c-04ccd53bc47a · outbound

This paper cites an unresolved cited work.

Generator Based Inference (GBI) Unresolved cited work

Reference 17

Resolution
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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=2026-08-07T12:16:19.159912Z digest=sha256:833cec495e0e694f8090ce276ce18b399c4dea8f5fb76d63c89419f56fc4e5ce

Observation 7ff888c4-1429-4d85-9547-85169e715120 · outbound

This paper cites Approximating Likelihood Ratios with Calibrated Discriminative Classifiers.

Generator Based Inference (GBI) Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Reference 18

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source=pdf_text observed=2026-08-07T12:16:19.186629Z digest=sha256:8ec2f24521577399578c3a9cf1af4a90745e253b8897d63f6e1be1bb7fa3e947

Observation 8d32c3ae-e0b9-4584-ac58-e5be6fad4d2a · outbound

This paper cites Parameterized Machine Learning for High-Energy Physics.

Generator Based Inference (GBI) Parameterized Machine Learning for High-Energy Physics

Reference 19

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source=pdf_text observed=2026-08-07T12:16:19.222864Z digest=sha256:ea80f16c175901095c640de85ff5de34e560376ee258185a7b8a011e858d12fc

Observation 31ee7e1f-95e5-4314-acab-63fbed092861 · outbound

This paper cites Wald,Tests of statistical hypotheses concerning several parameters when the number of observations is large,Transactions of the American Mathematical Society54(1943), no.

Generator Based Inference (GBI) Wald,Tests of statistical hypotheses concerning several parameters when the number of observations is large,Transactions of the American Mathematical Society54(1943), no

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:16:19.286392Z digest=sha256:012d55f83c50e70b0eccef32aeee7eb0886eea9f310d830ef4e7b4b5514ac436

Observation df5c865e-a318-45da-ada8-db25290ba78e · outbound

This paper cites Kasieczka, B.

Generator Based Inference (GBI) Kasieczka, B

Reference 21

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doi, observed 2026-08-07T12:16:20.241600Z

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=2026-08-07T12:16:19.361131Z digest=sha256:ba88967ad2f6507b3e1f1578e6e577838a6b7f7325509379dd5bfc47da3b998e

Observation b079ccc3-30bc-446b-b7e6-c2dbdef9e1dc · outbound

This paper cites PYTHIA 6.4 Physics and Manual.

Generator Based Inference (GBI) PYTHIA 6.4 Physics and Manual

Reference 22

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source=pdf_text observed=2026-08-07T12:16:19.432277Z digest=sha256:b7ea433ec4212a6522962176517cbea610e9de8a7cd1ebf51082dcaa1f909984

Observation 02665983-18e4-4ed8-a8f7-c9d747e859dd · outbound

This paper cites An Introduction to PYTHIA 8.2.

Generator Based Inference (GBI) An Introduction to PYTHIA 8.2

Reference 23

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source=pdf_text observed=2026-08-07T12:16:19.492023Z digest=sha256:848664fd83f7fabd9928c29feb9caf3871a4ba51679671af94df4a6a616f8eee

Observation 10db805f-5d09-4b06-9428-28d029a9cded · outbound

This paper cites Mertens,New features in Delphes 3,J.

Generator Based Inference (GBI) Mertens,New features in Delphes 3,J

Reference 25

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raw_fallback, observed 2026-08-07T12:16:21.202587Z

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=2026-08-07T12:16:19.562885Z digest=sha256:9acd09f71a2be352fac0c7534744fef68fda1cde7d3276987fad0adce1d1f8a6

Observation a380c19e-c300-4388-aac8-bd864c312ac5 · outbound

This paper cites Dispelling the N^3 myth for the Kt jet-finder.

Generator Based Inference (GBI) Dispelling the N^3 myth for the Kt jet-finder

Reference 26

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source=pdf_text observed=2026-08-07T12:16:19.626167Z digest=sha256:629aaa52d2b4958772ac268a21eeed121a8ec9ebab56e569f4cafc858552b750

Observation af6fbe57-ac0f-4b8b-a8e9-779abc0570e7 · outbound

This paper cites FastJet user manual.

Generator Based Inference (GBI) FastJet user manual

Reference 27

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source=pdf_text observed=2026-08-07T12:16:19.684059Z digest=sha256:4dc0d96294725799e1e1f863fe9348a8c27cbd2ee37ec88d0a6f965467a50bfc

Observation 9126160d-0ab6-4db7-b01f-c68d134b4766 · outbound

This paper cites The anti-k_t jet clustering algorithm.

Generator Based Inference (GBI) The anti-k_t jet clustering algorithm

Reference 28

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source=pdf_text observed=2026-08-07T12:16:19.754278Z digest=sha256:9669e557fbfe80b77ea373f81a6d8cf5d4ca5d99d344730356f6df6dd0e160d4

Observation 2f0fca0f-953c-422f-b352-8956b6958d79 · outbound

This paper cites Identifying Boosted Objects with N-subjettiness.

Generator Based Inference (GBI) Identifying Boosted Objects with N-subjettiness

Reference 29

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source=pdf_text observed=2026-08-07T12:16:19.809871Z digest=sha256:9219081546dfda62938f05bb314889ce2dcc28f40383cb69217dcea5b1858632

Observation a738594b-f5ed-4f43-b5df-29f012db4a9c · outbound

This paper cites Maximizing Boosted Top Identification by Minimizing N-subjettiness.

Generator Based Inference (GBI) Maximizing Boosted Top Identification by Minimizing N-subjettiness

Reference 30

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source=pdf_text observed=2026-08-07T12:16:19.856739Z digest=sha256:3537057f18d391b060f432ae55ee139a4814a8cd96e62f9bbea3b61271c3fe7b

Observation e8445c95-1b0f-4cf3-b9f1-63c071150507 · outbound

This paper cites Directly usep B to gen- erate backgrounds in SR data.

Generator Based Inference (GBI) Directly usep B to gen- erate backgrounds in SR data

Reference 31

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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=2026-08-07T12:16:19.914561Z digest=sha256:d8f5b65753e2956f9f4c4a0e818d9a2e8701c93968b77ad877e65d5b0f0c2d1b

Observation 89d73ff4-95ec-4f83-9dcd-ee41705f2fb9 · outbound

This paper cites 6, and the learned physical properties at (300, 300) is shown in Fig.

Generator Based Inference (GBI) 6, and the learned physical properties at (300, 300) is shown in Fig

Reference 300

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raw_fallback, observed 2026-08-07T12:16:20.795689Z

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=2026-08-07T12:16:20.016323Z digest=sha256:77e12cba3b0de159f3d6cef2012ff8f058c61d3637b0fef6c787f8b62f7bab3d

Pith citing papers

Observation e19b8b15-5c8d-405f-8637-cc7a64415cd1 · inbound

Theory-informed neural networks for particle physics cites this paper.

Theory-informed neural networks for particle physics Generator Based Inference (GBI)

Reference 37

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source=pdf_text observed=2026-08-06T16:29:14.997432Z digest=sha256:b043fee627281a077cdfdef41c4da71ad7892688215e551ddd3295cb2decc414

Observation db84c2a4-e45b-466c-8c99-01cdd21cebd8 · inbound

Toward an event-level analysis of hadron structure using differential programming cites this paper.

Toward an event-level analysis of hadron structure using differential programming Generator Based Inference (GBI)

Reference 37

Resolution
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local_arxiv, observed 2026-08-06T15:29:54.966074Z

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=2026-08-06T15:29:52.157066Z digest=sha256:8a58d572916abc2c4193d7c0098dba29a6f21093f249a82d2c745b09a23341d0

Observation a548a97d-058d-4c55-b2e4-827017ccfb61 · inbound

Look everywhere effects in anomaly detection cites this paper.

Look everywhere effects in anomaly detection Generator Based Inference (GBI)

Reference 25

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no resolver link, observed 2026-08-03T16:25:11.311424Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:25:11.311424Z digest=sha256:69520e3671ac0133145ef60f73f83f4a7269208114342a52f5c8af680db682f8