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Paper Citation Record · LEDGER

Advocacy Learning: Learning through Competition and Class-Conditional Representations

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.02723.

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

pith.paper-citation-record.v1
1908.02723 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:40:20.988295Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c0a215c-0147-4813-a66f-487c9e722027 · outbound

This paper cites Automatic Differentiation in PyTorch.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Automatic Differentiation in PyTorch

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.255830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.894846Z digest=sha256:6bd536fb3f11a04886ebe8cb8d7c51aec2745c87f7e71e2983a9945caf017838

Observation cd6df097-79de-40d5-a384-b9b15930b521 · outbound

This paper cites Predic- tion of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Ap- proach.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Predic- tion of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Ap- proach

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.231611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.904808Z digest=sha256:9f1a88e5a4e40bae4fc0e39010d28278ec239e16d7bc123d0b4cd1537aa74a54

Observation f06ff543-45b8-4337-aaaf-31b3c6f09de2 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Multitask learning and benchmarking with clinical time series data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T14:40:20.922960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:40:20.922960Z digest=sha256:292a08c45e941dccac2024a023f2941d26f81359bf0904b33562b1b61bed918a

Observation 2e608cb0-21ac-4668-af40-bf34fcdb58bd · outbound

This paper cites AI safety via debate.

Advocacy Learning: Learning through Competition and Class-Conditional Representations AI safety via debate

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:40:20.931990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:40:20.931990Z digest=sha256:ae6ef274b82388fc2c89d0e614b644ccc498acfccfe7aec44aedf4c55ab304fd

Observation ee01eafe-9edd-4bc0-b353-767929405d4d · outbound

This paper cites Kingma and Jimmy Ba.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Kingma and Jimmy Ba

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.174143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.941242Z digest=sha256:804a598341110cf6e91b8b56e67d3a6438e2059dd5b9e4a51023dbe5a758284d

Observation 781a28d5-66b1-4781-b9af-6494e0b58b1e · outbound

This paper cites an unresolved cited work.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:40:21.161868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.946807Z digest=sha256:b331513e4afe133aaf42e6212ffe25ce1734637f683bf03de1b816309b9bef68

Observation edafaffb-27c8-4443-80ab-b61c6f7e5c28 · outbound

This paper cites Deconvolution and checkerboard artifacts.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Deconvolution and checkerboard artifacts

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.137331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.955687Z digest=sha256:db6deea2812ec439165875cf505f55702c32bff6c35132217fd00ef3842fc222

Observation 59f17215-bbbd-42bc-be6a-259c26c32550 · outbound

This paper cites Learning Independent Causal Mechanisms.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Learning Independent Causal Mechanisms

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.123095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.960341Z digest=sha256:71b068bb05d4534cf5c5481253f4642ee3e3a7e7be28541729b607cfdbc43b3d

Observation 43c6a85b-28c5-4166-afa9-836b95a6db1a · outbound

This paper cites ”Why Should I Trust You?”: Ex- plaining the Predictions of Any Classifier.

Advocacy Learning: Learning through Competition and Class-Conditional Representations ”Why Should I Trust You?”: Ex- plaining the Predictions of Any Classifier

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.110832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.964974Z digest=sha256:29113f9852435b2871350b93ec88ec777f08e258690ae5f2633e848978dd8212

Observation d18c556b-e8c8-4815-83ca-8d756c452070 · outbound

This paper cites event- place: San Francisco, California, USA.

Advocacy Learning: Learning through Competition and Class-Conditional Representations event- place: San Francisco, California, USA

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.098518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.970346Z digest=sha256:8e8be85ae2d93fd1d84fda15a29644c552509ff9957a369fd8b6c70acf4acf9f

Observation 57e4d7bc-fe77-4504-84df-1ad9de77f07f · outbound

This paper cites an unresolved cited work.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:40:21.085728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.974480Z digest=sha256:e2aee34d3dbd803aebe6f04efa0932325d0fbaa40c6cdae1c90e21f203433cd9

Observation dcdefc74-29ac-4f56-bdad-f53819c80937 · outbound

This paper cites Mastering the game of Go without human knowledge.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Mastering the game of Go without human knowledge

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.072485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.978506Z digest=sha256:3ff7c2b5aec4fc1bd8a195b5b151e152d29c7238a86726d123fe3d04898503be

Observation 49dbc526-a1d7-4b7f-b275-e0ec47a81742 · outbound

This paper cites Attention is all you need.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Attention is all you need

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T14:40:20.982379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:40:20.982379Z digest=sha256:ca21b96bb19442fa6283aba9282f67d8cc1a70855d58c257f5bb6072db991f85

Observation a8b3c4fb-92b3-4a60-9fbc-4581d2a5cf9c · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T14:40:20.988295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:40:20.988295Z digest=sha256:2fc17f935679ec59cb159c58b26374a5bf7680899192465789a4dac0261ddb42

Observation e0c84f81-c808-488b-8148-0209354ad39d · outbound

This paper cites Pollard, Lu Shen, H.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Pollard, Lu Shen, H

Reference 1998

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.187043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.936555Z digest=sha256:26161c444abafee675ebfe9c0e52df4f0839b0d7b091ca281d0925daea7d4edc

Observation 1e75c7b7-53c3-4d30-8fc9-eb1e79cd0034 · outbound

This paper cites Maslove, Francois Lamon- tagne, John C.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Maslove, Francois Lamon- tagne, John C

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.149497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.951469Z digest=sha256:d34bd6ca0e9fde45ac9b260dd39b21f64edfadd145f3bb852ae4d3542e441466

Observation b09f3ef1-cdf9-4a55-bc18-63b5ee228694 · outbound

This paper cites Namboodiri, Philip H.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Namboodiri, Philip H

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.218988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.909120Z digest=sha256:77972c8a02e43fb26c90dda3f6bfccb86ba16f1e19f5bf6f8a3d61b1e66265fb

Observation e8fd789f-0d38-435d-84db-4461c1bc9158 · outbound

This paper cites Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.244166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.899648Z digest=sha256:eb6ddbe751d337908d8a8b42a103a7f9358b177d7f1a1d512c8c1b3531d3f95f

Observation 32066e7f-7fdb-4b29-affb-929e1a34daf0 · outbound

This paper cites Gen- erative adversarial nets.

Advocacy Learning: Learning through Competition and Class-Conditional Representations Gen- erative adversarial nets

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:40:21.206873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:40:20.913605Z digest=sha256:9e4cda2c8f83bed832d520c919c98c1a8133f58e7d9f0a268586c1f33e7e40e1

Pith citing papers

No inbound Pith citation observations are available.