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Paper Citation Record · LEDGER

GradInf: Gradient Estimation as Probabilistic Inference

As of 24 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.07840.

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

pith.paper-citation-record.v1
2607.07840 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

88 of 88 outbound references displayed

  • verified exact52
  • verified fuzzy9
  • unresolved11
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9b23919-34a7-497a-952e-ba8f606c6f83 · outbound

This paper cites In Proceedings of the 26th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) , Andrew W.

GradInf: Gradient Estimation as Probabilistic Inference In Proceedings of the 26th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) , Andrew W

Reference 1

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arxiv_id, observed 2026-07-10T17:07:25.591452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 20b041c9-5f7d-45ed-a4c7-b412091e0a12 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 2

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doi, observed 2026-07-10T17:07:25.648409Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 12f7cad6-8597-4813-a7b4-78c4cc803ea5 · outbound

This paper cites In15th European Symposium on Programming (ESOP) (Lecture Notes in Computer Science, Vol.

GradInf: Gradient Estimation as Probabilistic Inference In15th European Symposium on Programming (ESOP) (Lecture Notes in Computer Science, Vol

Reference 3

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doi, observed 2026-07-10T17:07:25.636137Z

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Observation 9c2b2cd4-e5b5-4941-8ee5-a578b379cc93 · outbound

This paper cites Anderson.

GradInf: Gradient Estimation as Probabilistic Inference Anderson

Reference 4

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 93dbe23d-7e62-4510-b1c2-8efd1a4fe07c · outbound

This paper cites GradInf: Gradient Estimation as Probabilistic Inference.

GradInf: Gradient Estimation as Probabilistic Inference GradInf: Gradient Estimation as Probabilistic Inference

Reference 5

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doi, observed 2026-07-10T17:07:25.622068Z

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Observation 193ca09c-119c-4fa2-97b8-18b43b5601f9 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 6

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arxiv_id, observed 2026-07-10T17:07:25.634197Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 462f23ab-4eba-4479-b5fb-1cb74ec5c843 · outbound

This paper cites doi:10.1145/3550469.3555392 , urldate =.

GradInf: Gradient Estimation as Probabilistic Inference doi:10.1145/3550469.3555392 , urldate =

Reference 7

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arxiv_id, observed 2026-07-10T17:07:25.620236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 583b033d-3771-457f-8f1c-671a69785c83 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 8

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doi, observed 2026-07-10T17:07:25.602297Z

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Observation 30f8bbb4-2c46-4648-9abf-816c7ea238d0 · outbound

This paper cites In: Meersman, R., Panetto, H., Dillon, T., Mis- sikoff, M., Liu, L., Pastor, O., Cuzzocrea, A., Sellis, T.

GradInf: Gradient Estimation as Probabilistic Inference In: Meersman, R., Panetto, H., Dillon, T., Mis- sikoff, M., Liu, L., Pastor, O., Cuzzocrea, A., Sellis, T

Reference 9

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doi_truncated, observed 2026-07-10T17:07:25.631514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:d6afc3474a26ea51738fca319d44f3ccb8a1fff6425fdb34dbe206e82e660ad6

Observation 7e846ae6-c83a-4392-a025-bd6f19beb1ab · outbound

This paper cites In: POPL, ACM, pp.

GradInf: Gradient Estimation as Probabilistic Inference In: POPL, ACM, pp

Reference 10

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arxiv_id, observed 2026-07-10T17:07:25.646527Z

Source-reported events for the cited work

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Observation 55602f7b-c5a2-4e86-99c5-36ff642fcab5 · outbound

This paper cites Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind.

GradInf: Gradient Estimation as Probabilistic Inference Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind

Reference 11

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arxiv_id, observed 2026-07-10T17:07:25.575898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:b28e69c5980b1f5de1d51993a39902c55b0959ab74020c2d154e85b97b22be37

Observation c9fb4af1-90c7-48db-89bb-5857768d0fdc · outbound

This paper cites Becker, Alexander K.

GradInf: Gradient Estimation as Probabilistic Inference Becker, Alexander K

Reference 12

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doi, observed 2026-07-10T17:07:25.577793Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:d64b7ffab3e83f6d02109da12fc8cef9d254f552c7831871815dbe54952f2eb7

Observation 10df4387-81b3-4a63-84c9-ef6df7449be0 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

GradInf: Gradient Estimation as Probabilistic Inference Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 13

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local_arxiv, observed 2026-07-10T17:07:25.831253Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:5e28176a204053256847cce8987f8d298637bfe49eda23bcbe06cf54d3c9934e

Observation 0ee50b19-5793-45ac-be88-fdaa38d28bf8 · outbound

This paper cites Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, and Noah D.

GradInf: Gradient Estimation as Probabilistic Inference Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, and Noah D

Reference 14

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arxiv_id, observed 2026-07-10T17:07:25.551590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:14dac94483c55bb12fbd22a5b8e3f33be350dbd71088ff01875677f25f5915a5

Observation f6e05183-91b1-44eb-bf12-f6f34faadb28 · outbound

This paper cites Reweighted Wake-Sleep.

GradInf: Gradient Estimation as Probabilistic Inference Reweighted Wake-Sleep

Reference 15

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local_arxiv, observed 2026-07-10T17:07:25.811711Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:e6a27875e010da008d35eb63b325455d72387f12dc9fd6bcce671afa0a9d3d90

Observation c8de498f-5e82-465c-8cf2-52c75f98021d · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 16

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doi, observed 2026-07-10T17:07:25.595832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:8ecbe76cf7e0d3cde3a38026b7b30f4cfe115637674f90a0a546907997ab0668

Observation df9d151d-3e4d-4070-bc8e-a2cdadf8fc60 · outbound

This paper cites Chandran, W.B.

GradInf: Gradient Estimation as Probabilistic Inference Chandran, W.B

Reference 17

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:a13108fa0bae0080e97a4357506fb147f0182c9a0e27afbca8cb3a72a26680ae

Observation abc1ede4-a0e1-4336-b4ef-e40875ded64f · outbound

This paper cites Ivo Danihelka, Arthur Guez, Julian Schrittwieser, and David Silver.

GradInf: Gradient Estimation as Probabilistic Inference Ivo Danihelka, Arthur Guez, Julian Schrittwieser, and David Silver

Reference 18

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Observation a59fc26e-3644-4077-8cff-38c5a23027bd · outbound

This paper cites Aditya Prakash, and Ramesh Raskar.

GradInf: Gradient Estimation as Probabilistic Inference Aditya Prakash, and Ramesh Raskar

Reference 19

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arxiv_id, observed 2026-07-10T17:07:25.627578Z

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Observation 9e6ff4e9-4987-4387-92c7-4956fd24daa7 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb973c54-3e82-4020-b3c3-833d5cfebd84 · outbound

This paper cites In: PLDI.

GradInf: Gradient Estimation as Probabilistic Inference In: PLDI

Reference 21

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arxiv_id, observed 2026-07-10T17:07:25.606669Z

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Observation 0b69ec1d-b5ed-430a-a91e-3c67d9d8c1f0 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 22

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Observation c4fe62f7-ba07-46a2-9f9a-2014c91387e9 · outbound

This paper cites TensorFlow Distributions.

GradInf: Gradient Estimation as Probabilistic Inference TensorFlow Distributions

Reference 23

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local_arxiv, observed 2026-07-10T17:07:25.823938Z

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Observation dd644da0-0629-4734-8fde-c5dd5186d17e · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 24

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Observation 251b3086-040a-4555-9878-cd095a28777c · outbound

This paper cites 1997.Conditional Monte Carlo: Gradient Estimation Optimization and Applications.

GradInf: Gradient Estimation as Probabilistic Inference 1997.Conditional Monte Carlo: Gradient Estimation Optimization and Applications

Reference 25

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Observation 257851bf-fca5-48ee-afce-7f70fddf8dfd · outbound

This paper cites Gillespie.

GradInf: Gradient Estimation as Probabilistic Inference Gillespie

Reference 26

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:de0e05d51c3e668aaf826b63ad8f333a85c6de2501f868cf736890be94c5efe2

Observation 7aa51024-f50e-41ff-a3ff-d1ecb21f9ebe · outbound

This paper cites [GVP90] Dan Geiger, Thomas Verma, and Judea Pearl.

GradInf: Gradient Estimation as Probabilistic Inference [GVP90] Dan Geiger, Thomas Verma, and Judea Pearl

Reference 27

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doi, observed 2026-07-10T17:07:25.560205Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ab007718-def2-4cff-9bd5-4cfca51be05d · outbound

This paper cites 2003.Monte Carlo Methods in Financial Engineering.

GradInf: Gradient Estimation as Probabilistic Inference 2003.Monte Carlo Methods in Financial Engineering

Reference 28

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Observation 60c7103c-2ca1-4cfa-a8b9-326f43656e2a · outbound

This paper cites 1991.Gradient Estimation via Perturbation Analysis.

GradInf: Gradient Estimation as Probabilistic Inference 1991.Gradient Estimation via Perturbation Analysis

Reference 29

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Observation 49ad9262-07cb-4777-ab5e-cf93af0c5012 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 30

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arxiv_id, observed 2026-07-10T17:07:25.624661Z

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Observation f632b06e-ae2b-4dbd-a899-3468d54e41f4 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 31

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arxiv_id, observed 2026-07-10T17:07:25.558209Z

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Observation 60dbebbd-f648-47f3-bb92-2efed0724f88 · outbound

This paper cites Gorinova, Andrew D.

GradInf: Gradient Estimation as Probabilistic Inference Gorinova, Andrew D

Reference 32

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doi, observed 2026-07-10T17:07:25.588323Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:9b3a4acdda0cda9a01c4cbef63b0c774c65078b0428c07c5c81780e4ac16ce3b

Observation 26f0aada-4e1f-43d2-93a7-0f6b6cdc1048 · outbound

This paper cites Gorinova, Andrew D.

GradInf: Gradient Estimation as Probabilistic Inference Gorinova, Andrew D

Reference 33

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:43b3e08a85f44de198d29742cee3cc24e931549f1fabe5e2adda79e00d3cd9aa

Observation 67436bc7-b81b-4eee-83d5-8efd54f50762 · outbound

This paper cites Haselwarter, Joseph Tassarotti, and Lars Birkedal.

GradInf: Gradient Estimation as Probabilistic Inference Haselwarter, Joseph Tassarotti, and Lars Birkedal

Reference 34

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doi, observed 2026-07-10T17:07:25.579721Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:14dc96ee562a96ba4fab6ffb953a5670481d1624ea3601099315caf22f124a08

Observation 09d64109-0a2a-43ce-b693-a5bcef3a7ea7 · outbound

This paper cites Haselwarter and Kwing Hei Li and Alejandro Aguirre and Simon Oddershede Gregersen and Joseph Tassarotti and Lars Birkedal , title =.

GradInf: Gradient Estimation as Probabilistic Inference Haselwarter and Kwing Hei Li and Alejandro Aguirre and Simon Oddershede Gregersen and Joseph Tassarotti and Lars Birkedal , title =

Reference 35

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doi, observed 2026-07-10T17:07:25.584660Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:05334a87915ab7b7a3ea85d5183634d34a7f87778e261f428ed89d3ec4544b2d

Observation a065bee6-2282-4dd8-8c67-71750f2a4bd9 · outbound

This paper cites Heidergott and F.

GradInf: Gradient Estimation as Probabilistic Inference Heidergott and F

Reference 36

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:feb345211a80fb1cfc6d1577e8e24aafb211a81bc61aa09f1170e6b89a089d6a

Observation bbf95df8-119b-46e7-ad95-9866a3553fed · outbound

This paper cites 32nd Annual.

GradInf: Gradient Estimation as Probabilistic Inference 32nd Annual

Reference 37

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arxiv_id, observed 2026-07-10T17:07:25.564725Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:4c6b097261a7cd69e466678fda9d9840dfe571c83f47aa2aeaa9e6e5ee7a78bc

Observation 72de5595-f7ed-42c0-85e1-0b9a95908f61 · outbound

This paper cites 2020 , issue_date =.

GradInf: Gradient Estimation as Probabilistic Inference 2020 , issue_date =

Reference 38

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:275ec3abbc9edc2847e6a7de58114c5cf93bc39dbb4af47d3005ac2cf57af3fc

Observation a95b31da-3368-45a7-9d8f-ef58ff9cf245 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 39

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doi, observed 2026-07-10T17:07:25.553628Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:d109f44242eaccd1ec827c42135d725f3a8c949ca520ce6e2165962e5c7428f2

Observation 3db793e3-de2b-4e2e-9a8a-99368b095341 · outbound

This paper cites Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics.

GradInf: Gradient Estimation as Probabilistic Inference Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics

Reference 40

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local_arxiv, observed 2026-07-10T17:07:25.821617Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:41bdd433c8732a5251f140df09f1c80eb5efd23ad6e628424a56e5b5d48c671f

Observation d6c78b9c-d86a-414b-889c-92f912a69182 · outbound

This paper cites Luke Ong, and Dominik Wagner.

GradInf: Gradient Estimation as Probabilistic Inference Luke Ong, and Dominik Wagner

Reference 41

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doi, observed 2026-07-10T17:07:25.548511Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:d0895fa9cc93c07c854095e7ec398a52b7d02b0e56c8347fead3af1e8385e396

Observation df222d57-372e-4441-a7ba-ea27cbc06d44 · outbound

This paper cites backpropagation.

GradInf: Gradient Estimation as Probabilistic Inference backpropagation

Reference 42

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raw_fallback, observed 2026-07-10T17:17:26.898637Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:06e57883b6bfec0d6f2cff7c46f3c27fee6d53f23a2639f9449a794014cacabd

Observation 48a4830c-9d39-4a5f-b757-20fddd17736e · outbound

This paper cites Auto-Encoding Variational Bayes.

GradInf: Gradient Estimation as Probabilistic Inference Auto-Encoding Variational Bayes

Reference 43

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local_arxiv, observed 2026-07-10T17:07:25.814237Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:df9715d902f11e7ee74ec8920144522000c675de0b33913d250c4a6ed3953423

Observation 767e53c4-b219-402a-994f-903c01a1cd98 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 44

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raw_fallback, observed 2026-07-10T17:17:26.902446Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:39657dc0c1d6490e4b1caf7d0bb1cdf6cc01c7aecf19314db7764cd75f3052af

Observation ed2d15bb-4f3f-4008-8cff-c54e7e951561 · outbound

This paper cites 2009.Probabilistic Graphical Models: Principles and Techniques.

GradInf: Gradient Estimation as Probabilistic Inference 2009.Probabilistic Graphical Models: Principles and Techniques

Reference 45

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raw_fallback, observed 2026-07-10T17:17:26.900583Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:6a2dc1ee7ee6832c483bb31d394cf3ea364670c957fb44754e6d2febf64fea75

Observation 4acff39f-5fde-4339-a355-ba731caea9ea · outbound

This paper cites Eisenberg, and Andrew Fitzgibbon.

GradInf: Gradient Estimation as Probabilistic Inference Eisenberg, and Andrew Fitzgibbon

Reference 46

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raw_fallback, observed 2026-07-10T17:17:26.888021Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:7be966d0192d5819a4052420d490925b787adfc14fa785c8eb126c9a39a78a5a

Observation da4939e3-7f29-4e7d-8387-d2f14b710cf1 · outbound

This paper cites 2022), 30 pages.

GradInf: Gradient Estimation as Probabilistic Inference 2022), 30 pages

Reference 47

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:a80b8717f282f7e4c511f73a939f806f1bc5bf74a07b14a38ff6f95cb667a8bb

Observation 980f65f3-f0f9-4e0b-ba46-6b7f95986c11 · outbound

This paper cites Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe’er, and Simon Tavaré.

GradInf: Gradient Estimation as Probabilistic Inference Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe’er, and Simon Tavaré

Reference 48

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doi, observed 2026-07-10T17:07:25.655438Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:f839ce9519e5f04a8a1eeaaf9aa5e5a4589fe6af89c36b42d5dc5a2404910ebf

Observation 1d11f276-f712-4e5c-84e5-7f3e071d66fd · outbound

This paper cites Scheel, and Peder M.

GradInf: Gradient Estimation as Probabilistic Inference Scheel, and Peder M

Reference 49

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raw_fallback, observed 2026-07-10T17:17:26.890232Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:82cca8a5cc41a616a963b98fab4e2bbca2426d2a2b5350cb7916a0a752b0eb6e

Observation abc1991b-94cb-41a1-b9ac-00f521a06a40 · outbound

This paper cites Larsen and Arne Skou.

GradInf: Gradient Estimation as Probabilistic Inference Larsen and Arne Skou

Reference 50

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:1ea46a93d3d65093d21035c89005d388e9bbcc1a1a6ea7abd331bf4ea5e5c028

Observation 39360749-23b0-452b-b260-bfd356a6ed6e · outbound

This paper cites Auto-Encoding Sequential Monte Carlo.

GradInf: Gradient Estimation as Probabilistic Inference Auto-Encoding Sequential Monte Carlo

Reference 51

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local_arxiv, observed 2026-07-10T17:07:25.816748Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:11672f96f72a1fe11ec6c02ce5b3ed74fa6131138a70115a427e460a26c19c09

Observation 3dec8f71-31cf-4a73-a5c3-dc31a96eef6a · outbound

This paper cites Kosiorek, N.

GradInf: Gradient Estimation as Probabilistic Inference Kosiorek, N

Reference 52

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raw_fallback, observed 2026-07-10T17:17:26.896603Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:6a181bbcf4079b6bdbe2c458be141c324a388e73eaa0be56712be142ac029f71

Observation 36323847-c048-4ebd-9828-2db80dc63277 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 53

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doi, observed 2026-07-10T17:07:25.569671Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:286f7f40f9d41e8d74762a9dcd31458b54e85f63bd78a9a25acf648eff701824

Observation 98f0f6d3-6d4c-46ab-b617-95aab0660e90 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 54

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raw_fallback, observed 2026-07-10T17:17:26.920215Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:dadbf473e2f3f3a07347b78a01a3751a95e331e49b31f44c446256a18ceb909e

Observation 892c9d6f-2fa0-4b50-ba54-462a47a994f0 · outbound

This paper cites Lew, Marco F.

GradInf: Gradient Estimation as Probabilistic Inference Lew, Marco F

Reference 55

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:357d145563223ba21d184c89d9f6bb8d7e9921668842928cc6fd0876a50fef1a

Observation 61bcdd8f-409d-4c67-a68e-ed0afe0a1879 · outbound

This paper cites Lew, Mathieu Huot, Sam Staton, and Vikash K.

GradInf: Gradient Estimation as Probabilistic Inference Lew, Mathieu Huot, Sam Staton, and Vikash K

Reference 56

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:da6a14982c28556eb5b238fffb65530f668442ad0897ba9c4546f705bd282e51

Observation 366c0290-af7e-4b25-b4e1-f5387e0f82ec · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 57

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doi, observed 2026-07-10T17:07:25.653756Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:58dbc69037f99c8a6166174ac0a01f3cdceb385c6a15a034369083f86d031d26

Observation 9ab64083-ea8c-4623-8676-dd12bf64b2e8 · outbound

This paper cites ACM Trans.

GradInf: Gradient Estimation as Probabilistic Inference ACM Trans

Reference 58

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arxiv_id, observed 2026-07-10T17:07:25.598548Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:c56732c5ff734425bb12be7f192330ba5ae9dd0bc2d602263140b7a125447a0a

Observation 361cfc08-2184-4449-a6be-030e92c6a0fb · outbound

This paper cites 2002.Lectures on the Coupling Method.

GradInf: Gradient Estimation as Probabilistic Inference 2002.Lectures on the Coupling Method

Reference 59

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raw_fallback, observed 2026-07-10T17:17:26.932708Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:339cc24dfdc33592653fcc8d55eb27a588604cff54226f4964f45ee51c2b253b

Observation 57490ef2-bba1-4add-bd22-f870c97d89c5 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 60

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doi, observed 2026-07-10T17:07:25.611216Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:83cb524aa9ebab68c48762f94d24a544c7da3a68a67b32f9ca5a934b0b717ecc

Observation f6644abf-da98-469b-b946-a5de07612ba6 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 61

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raw_fallback, observed 2026-07-10T17:17:26.946090Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:ef7bdd842b414b738d74a1ef9c0d3cc0da3916bb7206e732e2dabc0d18bb2ada

Observation 886c6a39-b7a9-4883-bd0d-b4e18cf84bed · outbound

This paper cites Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, and Yee Whye Teh.

GradInf: Gradient Estimation as Probabilistic Inference Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, and Yee Whye Teh

Reference 62

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raw_fallback, observed 2026-07-10T17:17:26.926775Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:2656a3264465c646b778946c180ba3d537c46a5727c8c627a543c55045fc1478

Observation 9549378c-ba33-40c7-8cf2-f933f0659ec4 · outbound

This paper cites In: Foster, J.S., Grossman, D.

GradInf: Gradient Estimation as Probabilistic Inference In: Foster, J.S., Grossman, D

Reference 63

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arxiv_id, observed 2026-07-10T17:07:25.609495Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:dbaecf61170a728f13215e3c0906e4b18c092603205521002a37a9dad0a8ce3c

Observation f234739a-51b9-4659-b207-b076ece21533 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 64

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doi, observed 2026-07-10T17:07:25.571369Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:d20e99d7558b1934502f4ae75da483cbbe716508ceed9b6fff7d16d0613c5444

Observation f6b23bf8-733e-4931-97f1-b9475fd83c84 · outbound

This paper cites Variational inference for Monte Carlo objectives.

GradInf: Gradient Estimation as Probabilistic Inference Variational inference for Monte Carlo objectives

Reference 65

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local_arxiv, observed 2026-07-10T17:07:25.819179Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:5e170d7342c202d12aa679338974a2893782f7dc76cf703b04ea961887207823

Observation 959737a7-7bdd-4b44-af0f-3e4631175297 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 66

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arxiv_id, observed 2026-07-10T17:07:25.613721Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:90220b3ec69ff3b8b6e34349e18dda455b13439703093020f981e237495e911a

Observation 136cbaf3-fa9c-4675-890f-ef298401590d · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 67

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raw_fallback, observed 2026-07-10T17:17:26.929768Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:3ede28ef29e6d0aa372f0916526243949410336bd2011df5dbf7eba54a0fc0f6

Observation c157f4a9-723f-4cbc-8400-377e1c0beb74 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 68

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doi, observed 2026-07-10T17:07:25.600557Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:cacaf35929f3915ec44d1cbe6e5ceff491465be5820c92cca9e1b9a35af0fd76

Observation b044ff6d-ab91-4a93-ae91-d920b4090807 · outbound

This paper cites Society for Industrial and Applied Mathematics.

GradInf: Gradient Estimation as Probabilistic Inference Society for Industrial and Applied Mathematics

Reference 69

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doi, observed 2026-07-10T17:07:25.603988Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:0065c6c36164ed0c656b6be47e08a635a5aa99d0be6740b89a548ce10377837b

Observation d4df3692-49c8-4503-b19b-aa41f2961fe0 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 70

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raw_fallback, observed 2026-07-10T17:17:26.911972Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:ded308fff5cfd83f753a8f316393fb19c035e93a1fea0fc56d23f812c17e35f2

Observation 6c2b98db-55bb-4397-9962-67c45116c2f2 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 71

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doi, observed 2026-07-10T17:07:25.617232Z

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source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:58fbacfb62cdf71cc40896a3f3db66fbd12b6d000969f0356d7341dd74b18850

Observation ec35beb5-9f9f-48ab-8eed-ed532847f4c3 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 72

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arxiv_id, observed 2026-07-10T17:07:25.594247Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:cced48ef5e1b5bbb836cef799feeffc6462a89bb84c1e32cdced36668dddc000

Observation 36bf6f84-d6b9-4dc6-9631-8d8183bcd0e9 · outbound

This paper cites Saad, Martin C.

GradInf: Gradient Estimation as Probabilistic Inference Saad, Martin C

Reference 73

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metadata mismatch
arxiv_id, observed 2026-07-10T17:07:25.826339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation badfb18f-719a-4ab0-aac3-bb5a1dfa62aa · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 74

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 26466979-0307-486c-9978-78048f07be55 · outbound

This paper cites A sequent calculus for opetopes.

GradInf: Gradient Estimation as Probabilistic Inference A sequent calculus for opetopes

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-07-10T17:07:25.582862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5fc65477-2afd-40a6-90a7-b3dfafd99d1a · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-07-10T17:17:26.916703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c37083a7-5f26-425a-821b-bef7b6d844d3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GradInf: Gradient Estimation as Probabilistic Inference Proximal Policy Optimization Algorithms

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-07-10T17:07:25.828750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation df4c2c77-f630-4b7d-b3da-9f9eaae065b8 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 78

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 12b37955-6c93-4c58-997e-e84b7ba5c66c · outbound

This paper cites Moss, Chris Heunen, and Zoubin Ghahramani.

GradInf: Gradient Estimation as Probabilistic Inference Moss, Chris Heunen, and Zoubin Ghahramani

Reference 79

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c8662167-9b5f-46ca-b09d-46d284488339 · outbound

This paper cites an unresolved cited work.

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Reference 80

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 569dc5ed-c373-4903-82e4-c01789428d13 · outbound

This paper cites Sutton and Andrew G.

GradInf: Gradient Estimation as Probabilistic Inference Sutton and Andrew G

Reference 81

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 97583960-823b-4cfe-b2cd-07c7126fdbf8 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 82

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5e60836b-8c4a-44be-aeb1-d2985395e0e8 · outbound

This paper cites Pierce, and Guy Van den Broeck.

GradInf: Gradient Estimation as Probabilistic Inference Pierce, and Guy Van den Broeck

Reference 83

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0399bceb-f7b3-423b-bd18-3b3ccc5e08f8 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-07-10T17:17:26.904330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 088128fd-f216-4db8-b74c-671cd54bdb17 · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-07-10T17:17:26.908724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9b9be639-1c5b-470d-9e6b-74c4f27c8a6e · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 86

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ed1fad33-cb1b-40e2-9704-c75e2aa46f7e · outbound

This paper cites an unresolved cited work.

GradInf: Gradient Estimation as Probabilistic Inference Unresolved cited work

Reference 87

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unresolved
raw_fallback, observed 2026-07-10T17:17:26.892513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-10T16:57:26.400295Z digest=sha256:1ce90519ca082a67d96eb684438ca11c11a9071f6dd2792a87198ad7a796715c

Observation 32765a81-4e8d-4d96-9e88-04a7bde4ce7d · outbound

This paper cites Discrete Variational Autoencoders.

GradInf: Gradient Estimation as Probabilistic Inference Discrete Variational Autoencoders

Reference 88

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verified exact
local_arxiv, observed 2026-07-10T17:07:25.638541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

No inbound Pith citation observations are available.