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Paper Citation Record · LEDGER

Universal Transforming Geometric Network

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.00723.

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

pith.paper-citation-record.v1
1908.00723 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:57.803958Z

measured 21 of 21 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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ea4586d-16c2-4728-bc03-b523d935af98 · outbound

This paper cites an unresolved cited work.

Universal Transforming Geometric Network Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:38:58.160998Z

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=arxiv_source observed=2026-08-14T15:38:57.693625Z digest=sha256:f923f3d1700c447d1775a9eccb6154693c0e9e321124edd4c587b9bf6e56bdd8

Observation fe853d07-f15a-4003-8262-ef0d682001b1 · outbound

This paper cites End-to-end differentiable learning of protein structure.

Universal Transforming Geometric Network End-to-end differentiable learning of protein structure

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.144984Z

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=arxiv_source observed=2026-08-14T15:38:57.699918Z digest=sha256:6dbb154e3a049d3a8dea74fe93896f066bfbbf78bfb454732541ee9b5daac477

Observation fe08036a-1893-4165-8d8a-733f12c3790c · outbound

This paper cites Proteinnet: a standardized data set for machine learning of protein structure.

Universal Transforming Geometric Network Proteinnet: a standardized data set for machine learning of protein structure

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.128940Z

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=arxiv_source observed=2026-08-14T15:38:57.705305Z digest=sha256:1310f2e3421606d6dce9ba1177bfc5edc7239c5c802b3182cce83168b38454fc

Observation 954df10f-7f46-4256-82a4-9f8f71c705fa · outbound

This paper cites Layer Normalization.

Universal Transforming Geometric Network Layer Normalization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.710970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.710970Z digest=sha256:5c4ac7590d965dda6831582149dbb1d4b5e6ea3e99bafeeb909680317ba61086

Observation fc8afa95-66b5-41ee-a022-1261027c5c58 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Universal Transforming Geometric Network Xception: Deep learning with depthwise separable convolutions

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.113156Z

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=arxiv_source observed=2026-08-14T15:38:57.717312Z digest=sha256:a12d7fb2ba640d7179a5d811337ff214cca7d11cf5bdf8f99f13219aaa6495db

Observation c9e518b9-8fc3-490b-86a2-2fabdc9cd9dc · outbound

This paper cites Universal Transformers.

Universal Transforming Geometric Network Universal Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.723140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.723140Z digest=sha256:a737f6d66fd5545c3a9ee52a987c683fdf1106306b82ac6246bc95ad4b5530dc

Observation 13be4e8d-c843-4acd-983f-02e2493f4a54 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Universal Transforming Geometric Network Adaptive Computation Time for Recurrent Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.729670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.729670Z digest=sha256:653f1e89d52ecd5e51b74ce917800a8a088c8252f82c95b3c02257d5d5edc585

Observation 2951af9d-2619-42ab-a8ec-609ad7154464 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Universal Transforming Geometric Network Adam: A Method for Stochastic Optimization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.735394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.735394Z digest=sha256:94f913be0f5ec7456a2233635a1cdf9c2c0f079bbf2e2648b2ffe1e2eef6a3e1

Observation c9a08de7-71c5-4855-8e4b-ae8de0427ac1 · outbound

This paper cites an unresolved cited work.

Universal Transforming Geometric Network Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:38:58.097417Z

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=arxiv_source observed=2026-08-14T15:38:57.740989Z digest=sha256:e638eaf02d27eaec5ed00a4eecb7ebb21017447a3a7287310b8dde18af9c8a3a

Observation 0b56fbf9-69d4-41f6-ad37-a64bf44ca5dd · outbound

This paper cites Ab initio molecular dynamics: basic theory and advanced methods.

Universal Transforming Geometric Network Ab initio molecular dynamics: basic theory and advanced methods

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.080386Z

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=arxiv_source observed=2026-08-14T15:38:57.746327Z digest=sha256:d757c55f9eb3f8004be919d5aae0e1e3bba9163a2af6bd2d3b96023590ce6c0e

Observation fc6f8ffb-3377-4995-af0b-54566104fce6 · outbound

This paper cites Judson, and Krzysztof Fidelis.

Universal Transforming Geometric Network Judson, and Krzysztof Fidelis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.064185Z

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=arxiv_source observed=2026-08-14T15:38:57.751600Z digest=sha256:d44bb050a56edea9352f85c8e9f48fd9c1847b21af9802e4c7c9aec6942ba698

Observation 77253116-417d-4169-87a5-334e2252cdba · outbound

This paper cites On the difficulty of training Recurrent Neural Networks.

Universal Transforming Geometric Network On the difficulty of training Recurrent Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.756890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.756890Z digest=sha256:1548861059d91eac9944623950942d8ec445e464a003bb08081fe38175227276

Observation 3f248bdd-2c14-4f60-b3c2-ef592682adef · outbound

This paper cites Potter, Aurelien Luciani, Sean R.

Universal Transforming Geometric Network Potter, Aurelien Luciani, Sean R

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.048716Z

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=arxiv_source observed=2026-08-14T15:38:57.762538Z digest=sha256:c857801e4e4b0617d3e4d7ca77654e15920ae82cc0ef5a19c74a1f9c12ff67cd

Observation bd86e349-9ca9-4a0c-baa0-f31a4c5d544f · outbound

This paper cites Self-attention with relative position representations.

Universal Transforming Geometric Network Self-attention with relative position representations

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.031858Z

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=arxiv_source observed=2026-08-14T15:38:57.768077Z digest=sha256:c348eff18b0d0f3c9fd06b00da5903ee8a7825c23043b6a547d2040d4d8877bc

Observation ad563db9-8518-4e2c-b307-d83b261a5dd0 · outbound

This paper cites Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov.

Universal Transforming Geometric Network Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:58.016143Z

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=arxiv_source observed=2026-08-14T15:38:57.773048Z digest=sha256:f978d96cb884974522a60966ef8d84d69c6d696c77edfaa09cc24c0e8df09954

Observation bfda962c-6e14-4e99-a578-2d10bc5a8275 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Universal Transforming Geometric Network Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.778366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.778366Z digest=sha256:f0453e69ee52f393a2ae9d335d1929c4af91d31be140f1a29fb2f8ea20e79167

Observation b232e658-53ce-449a-b671-72bc6c3f55bb · outbound

This paper cites Accurate de novo prediction of protein contact map by ultra-deep learning model.

Universal Transforming Geometric Network Accurate de novo prediction of protein contact map by ultra-deep learning model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:57.990500Z

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=arxiv_source observed=2026-08-14T15:38:57.783602Z digest=sha256:dd7e6c68aa7ec4994dbdd38a89562ed725590b272bd2edf3dc33595557ab59aa

Observation 1c5b09f7-dd9f-47f9-a33d-a61677a730a5 · outbound

This paper cites How significant is a protein structure similarity with tm-score = 0.5? Bioinformatics, 26 7: 0 889--95, 2010.

Universal Transforming Geometric Network How significant is a protein structure similarity with tm-score = 0.5? Bioinformatics, 26 7: 0 889--95, 2010

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:57.974680Z

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=arxiv_source observed=2026-08-14T15:38:57.788661Z digest=sha256:b74dc0a7a9ecd5684c12fcdaaaccace577732fc4d5ee70fc6c43f5537ef35e52

Observation 54bbfcc8-2385-47d7-bf7f-bbe9231198da · outbound

This paper cites The i-tasser suite: protein structure and function prediction.

Universal Transforming Geometric Network The i-tasser suite: protein structure and function prediction

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:57.959081Z

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=arxiv_source observed=2026-08-14T15:38:57.793894Z digest=sha256:c6952ba3ab23957016bbaec44e57ba24c6b2f3dcddf974e67ee73f43df3391a4

Observation 6718ea37-dfdf-4cf2-bb26-9217a2bbdfd5 · outbound

This paper cites Scoring function for automated assessment of protein structure template quality.

Universal Transforming Geometric Network Scoring function for automated assessment of protein structure template quality

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:38:57.942789Z

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=arxiv_source observed=2026-08-14T15:38:57.798811Z digest=sha256:9955b843821edac1f977650fc4d85c19142df33ef748863db69f844ec2582b8f

Observation 815fd1ea-65b9-40c3-a60d-da4487c634d0 · outbound

This paper cites write newline.

Universal Transforming Geometric Network write newline

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:57.803958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:57.803958Z digest=sha256:b33c41eaa415308c5dde13a92a5e0a47db76c0c248f46f3854a11ac988edf315

Pith citing papers

No inbound Pith citation observations are available.