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Paper Citation Record · LEDGER

What makes a good feedforward computational graph?

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2502.06751.

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

pith.paper-citation-record.v1
2502.06751 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:33:16.051595Z

measured 53 of 53 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 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

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 399332e7-b3a9-42d1-8980-7c15a6b32323 · outbound

This paper cites and Yahav, E.

What makes a good feedforward computational graph? and Yahav, E

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4bc32913-3967-4e49-bc17-6df3db97ffb1 · outbound

This paper cites DiffWire: Inductive Graph Rewiring via the Lov\'asz Bound.

What makes a good feedforward computational graph? DiffWire: Inductive Graph Rewiring via the Lov\'asz Bound

Reference 2

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Observation 9ac8b5b5-b1fd-49dc-97f6-850432e14429 · outbound

This paper cites an unresolved cited work.

What makes a good feedforward computational graph? Unresolved cited work

Reference 3

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Observation 4db36c97-849e-496b-a3db-ce69159bb1f2 · outbound

This paper cites Transformers need glasses! Information over-squashing in language tasks.

What makes a good feedforward computational graph? Transformers need glasses! Information over-squashing in language tasks

Reference 4

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Observation 238cf614-b57b-48a4-8519-41684ab6b40a · outbound

This paper cites V., Monet, M., Pérez, J., Reutter, J., and Silva, J.

What makes a good feedforward computational graph? V., Monet, M., Pérez, J., Reutter, J., and Silva, J

Reference 5

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Source-reported events for the cited work

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Observation 09b6e296-c660-469f-afaf-c68360f07c8d · outbound

This paper cites A Note on Over-Smoothing for Graph Neural Networks.

What makes a good feedforward computational graph? A Note on Over-Smoothing for Graph Neural Networks

Reference 6

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Observation c8917387-9b64-4df0-aeb8-d42ff2b5e0b4 · outbound

This paper cites Higher-Order Expander Graph Propagation.

What makes a good feedforward computational graph? Higher-Order Expander Graph Propagation

Reference 7

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local_arxiv, observed 2026-08-08T14:33:16.158316Z

Source-reported events for the cited work

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Observation 0e758dda-d4a6-4591-948b-0e433b1baf52 · outbound

This paper cites an unresolved cited work.

What makes a good feedforward computational graph? Unresolved cited work

Reference 8

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Observation dabc7f11-5989-449f-95de-cfd80c2ee91c · outbound

This paper cites and Grabowski,.

What makes a good feedforward computational graph? and Grabowski,

Reference 9

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Observation 17d5f14f-7b5d-470f-8b59-c48f4432ba29 · outbound

This paper cites Expander graph propagation.

What makes a good feedforward computational graph? Expander graph propagation

Reference 10

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raw_fallback, observed 2026-08-08T14:33:16.386322Z

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.

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Observation eb297e29-097c-4ec7-8e30-ffa7ffbe3757 · outbound

This paper cites Understanding convolution on graphs via energies.

What makes a good feedforward computational graph? Understanding convolution on graphs via energies

Reference 11

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Observation f614cc9c-bbdc-42e0-9e8a-24e0939585d6 · outbound

This paper cites K., Bronstein, M., Deac, A., Lackenby, M., Mishra, S., and Veli c kovi \'c , P.

What makes a good feedforward computational graph? K., Bronstein, M., Deac, A., Lackenby, M., Mishra, S., and Veli c kovi \'c , P

Reference 12

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Observation 7cb3e4a5-ec1c-4173-975a-0efe46ff8f88 · outbound

This paper cites On the evolution of random graphs.

What makes a good feedforward computational graph? On the evolution of random graphs

Reference 13

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Observation 3e255e3d-927d-4f08-b9f7-df8060f32cc6 · outbound

This paper cites Speeding up random walk mixing by starting from a uniform vertex.

What makes a good feedforward computational graph? Speeding up random walk mixing by starting from a uniform vertex

Reference 14

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

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Observation 2d4d74b4-0dbc-4d95-abab-e3fa7bbf9d50 · outbound

This paper cites and Weber, M.

What makes a good feedforward computational graph? and Weber, M

Reference 15

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

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Observation a6143c2a-b1e7-4895-9ff0-3692af0e7653 · outbound

This paper cites Diffusion improves graph learning.

What makes a good feedforward computational graph? Diffusion improves graph learning

Reference 16

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source=arxiv_source observed=2026-08-08T14:33:15.947748Z digest=sha256:1691b8a0af8b8956e632df93490e22fa4ab5cf90da86e2fa9d92074e7da7cf54

Observation bebc6444-21be-4b49-8674-c3878520baf8 · outbound

This paper cites Theoretical limitations of self-attention in neural sequence models.

What makes a good feedforward computational graph? Theoretical limitations of self-attention in neural sequence models

Reference 17

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Observation 6a4e2887-9e10-4e66-ab0f-1d75303909ac · outbound

This paper cites Deep residual learning for image recognition.

What makes a good feedforward computational graph? Deep residual learning for image recognition

Reference 18

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Observation 97d699b2-0d68-4309-9e3e-7b1e7cfb0b45 · outbound

This paper cites Temporal graph benchmark for machine learning on temporal graphs.

What makes a good feedforward computational graph? Temporal graph benchmark for machine learning on temporal graphs

Reference 19

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

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Observation e7edf931-42d1-4b16-b094-e416fe5c754b · outbound

This paper cites Not too little, not too much: a theoretical analysis of graph (over) smoothing.

What makes a good feedforward computational graph? Not too little, not too much: a theoretical analysis of graph (over) smoothing

Reference 20

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

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Observation e50a8057-42ac-4f97-ad9d-e92a09eb5f9e · outbound

This paper cites Transformers Provably Solve Parity Efficiently with Chain of Thought.

What makes a good feedforward computational graph? Transformers Provably Solve Parity Efficiently with Chain of Thought

Reference 21

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Observation 042e7265-7813-490a-a9fa-fe6a412e401c · outbound

This paper cites An introduction to expander graphs.

What makes a good feedforward computational graph? An introduction to expander graphs

Reference 22

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Observation 46654ddd-2a1f-410e-a24a-c63ce1a4cacc · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.

What makes a good feedforward computational graph? Deeper insights into graph convolutional networks for semi-supervised learning

Reference 23

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source=arxiv_source observed=2026-08-08T14:33:15.966700Z digest=sha256:0c2f285948edd795c0e7d4f072b21923a8b94268c18f02abd8037471686c4c7e

Observation 17fd01ef-9aee-452e-b427-8579be45fe0c · outbound

This paper cites Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention.

What makes a good feedforward computational graph? Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention

Reference 24

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local_arxiv, observed 2026-08-08T14:33:16.133097Z

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Observation 17e34016-3cb9-4666-b168-62f56ff36c31 · outbound

This paper cites T., Lorraine, J., and Lucas, J.

What makes a good feedforward computational graph? T., Lorraine, J., and Lucas, J

Reference 25

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raw_fallback, observed 2026-08-08T14:33:16.312135Z

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

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Observation 62fa8fca-33a7-4665-b25d-ef42fbb95aa8 · outbound

This paper cites Discrete groups, expanding graphs and invariant measures, volume 125.

What makes a good feedforward computational graph? Discrete groups, expanding graphs and invariant measures, volume 125

Reference 26

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Observation 83f4e017-9a81-4d39-8aee-45351db370cf · outbound

This paper cites A fractional graph laplacian approach to oversmoothing.

What makes a good feedforward computational graph? A fractional graph laplacian approach to oversmoothing

Reference 27

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Observation 62168025-8de8-48fe-936f-6e4a3590e63e · outbound

This paper cites and Veli c kovi \'c , P.

What makes a good feedforward computational graph? and Veli c kovi \'c , P

Reference 28

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raw_fallback, observed 2026-08-08T14:33:16.292693Z

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Observation 98d9f9e5-e3fe-4e50-8ce7-0ac3b0a4e488 · outbound

This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

What makes a good feedforward computational graph? Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 29

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Observation d043b068-640c-46b8-9b56-09c48484bd4d · outbound

This paper cites Improving language understanding by generative pre-training, 2018.

What makes a good feedforward computational graph? Improving language understanding by generative pre-training, 2018

Reference 30

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raw_fallback, observed 2026-08-08T14:33:16.285287Z

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

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Observation ea852aa9-6267-4182-99c1-51492796380b · outbound

This paper cites P., Dupont, E., Ruiz, F.

What makes a good feedforward computational graph? P., Dupont, E., Ruiz, F

Reference 31

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Observation 659b227a-6156-486d-9c6b-164e9520919b · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

What makes a good feedforward computational graph? Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 32

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Observation 23877374-274e-404b-8bee-5b103321551c · outbound

This paper cites K., Chamberlain, B., Rowbottom, J., Mishra, S., and Bronstein, M.

What makes a good feedforward computational graph? K., Chamberlain, B., Rowbottom, J., Mishra, S., and Bronstein, M

Reference 33

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raw_fallback, observed 2026-08-08T14:33:16.277552Z

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Observation dd7c95e8-514a-4d87-b0a1-dccd48b8616a · outbound

This paper cites Some applications of modular forms, volume 99.

What makes a good feedforward computational graph? Some applications of modular forms, volume 99

Reference 34

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raw_fallback, observed 2026-08-08T14:33:16.270169Z

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.

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Observation 947074ec-7eb3-4e8f-9784-475099cc3f48 · outbound

This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

What makes a good feedforward computational graph? Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 35

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Observation cc2919a7-eea3-4f98-8fbc-86a3c00d5a6c · outbound

This paper cites J., and Sinop, A.

What makes a good feedforward computational graph? J., and Sinop, A

Reference 36

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Observation 5f358e47-dc17-4431-baf9-4b7d149ee0d1 · outbound

This paper cites an unresolved cited work.

What makes a good feedforward computational graph? Unresolved cited work

Reference 37

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Observation d88e7d4d-630e-4735-9353-da5085ccd9a5 · outbound

This paper cites Going beyond the causal mask in language modeling.

What makes a good feedforward computational graph? Going beyond the causal mask in language modeling

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.250671Z

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=arxiv_source observed=2026-08-08T14:33:16.010390Z digest=sha256:6a822f9996b5f49c129b7531930b0117f2ea1022e698e9453f31de9013c5aae1

Observation ec083cc9-8ca4-4acc-a65a-d4e9a9b061bc · outbound

This paper cites Commute-time-optimised graphs for gnns.

What makes a good feedforward computational graph? Commute-time-optimised graphs for gnns

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.242821Z

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=arxiv_source observed=2026-08-08T14:33:16.012865Z digest=sha256:7c9542fbe684854da4f1f421439fd6fc6a4fc96f4cdbaef6b19e842a0d150f6f

Observation 5c99f2b2-4d3f-4480-aa54-0cf7db051446 · outbound

This paper cites an unresolved cited work.

What makes a good feedforward computational graph? Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T14:33:16.235111Z

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=arxiv_source observed=2026-08-08T14:33:16.015684Z digest=sha256:981c25540e080a6a7a9f2bdf247e24323d09486a8fe372d7069e60f991fd4b56

Observation bf2e7fa5-cbbb-489a-ae01-479cbab6a0cd · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

What makes a good feedforward computational graph? Gemma: Open Models Based on Gemini Research and Technology

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.018272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.018272Z digest=sha256:864c7fdc4194e6d12f89e528505a4c36a615b8a7c0a57b682550d3e4912d2e73

Observation b7a0fc2f-f96d-4788-9f24-f83b539e48d2 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

What makes a good feedforward computational graph? Gemma 2: Improving Open Language Models at a Practical Size

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.021100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.021100Z digest=sha256:d4c39ff3abfccda6387e3c72000a2987fede9ba00ef939e6a730dee5a2779a58

Observation 15d5fb4b-6138-4d48-8e2f-9cfbbc1b6d06 · outbound

This paper cites and Chen, J.

What makes a good feedforward computational graph? and Chen, J

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.227689Z

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=arxiv_source observed=2026-08-08T14:33:16.024438Z digest=sha256:dfd6d18456141e4a7b6dcb7c410b52305c2bb002c8d055c7d65b8fe816d3fe3d

Observation fa93a986-f53c-4a13-9f4b-07c7140f794d · outbound

This paper cites D., Chamberlain, B.

What makes a good feedforward computational graph? D., Chamberlain, B

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.220076Z

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=arxiv_source observed=2026-08-08T14:33:16.027124Z digest=sha256:1f292f4598f5fc202f3e63e0def1a7d229e2ffc0e303cb78185d40a354061785

Observation 49d0fd8b-9410-4c57-86bb-6b09667ed3eb · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

What makes a good feedforward computational graph? WaveNet: A Generative Model for Raw Audio

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.029766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.029766Z digest=sha256:af336ffaa980fe4f4db6531dc21380b9603d86574a17b33aa6d831e87d3b1592

Observation d7a54640-5ade-41b0-862a-ee5c0b5c83c7 · outbound

This paper cites P., Budden, D., Pascanu, R., Banino, A., Dashevskiy, M., Hadsell, R., and Blundell, C.

What makes a good feedforward computational graph? P., Budden, D., Pascanu, R., Banino, A., Dashevskiy, M., Hadsell, R., and Blundell, C

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.032712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.032712Z digest=sha256:4e0eb9b51c6db73eee451c4f4e25849dabb12b907b8538b7a509c707491c0e54

Observation c886f72e-d47e-4d3b-b5d0-abc0b35bbc7c · outbound

This paper cites Graph attention networks.

What makes a good feedforward computational graph? Graph attention networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.208629Z

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=arxiv_source observed=2026-08-08T14:33:16.035320Z digest=sha256:b092e5bf60a7fa012b65fffea6a8a81357309e437b00aba3f9fad5204d83d135

Observation 7fbc1b9c-f8a6-435b-a524-1143a2d9984c · outbound

This paper cites Softmax is not Enough (for Sharp Size Generalisation).

What makes a good feedforward computational graph? Softmax is not Enough (for Sharp Size Generalisation)

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.037819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.037819Z digest=sha256:7195822f288e50deb73118df8716f93ac3654abf8d31b270cb0ce83068d1b5e8

Observation 536b3f72-534b-4b16-b305-45df04b4754f · outbound

This paper cites Cayley graph propagation.

What makes a good feedforward computational graph? Cayley graph propagation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.200964Z

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=arxiv_source observed=2026-08-08T14:33:16.040809Z digest=sha256:0641252da0b573fa00413fef796e3fa59c4237579c70b8c149fca320a51829f9

Observation 1491c796-bb48-4b34-90a2-47b7ca82ccf7 · outbound

This paper cites A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al.

What makes a good feedforward computational graph? A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.043161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.043161Z digest=sha256:84b31492558a527d401f85b02d5ce520c7bdf4b2fa111e1e4cb90bfee75ea423

Observation b6018a2e-6e6d-4042-8898-18a89832d024 · outbound

This paper cites Dirichlet energy constrained learning for deep graph neural networks.

What makes a good feedforward computational graph? Dirichlet energy constrained learning for deep graph neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T14:33:16.188738Z

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=arxiv_source observed=2026-08-08T14:33:16.045867Z digest=sha256:22c83869bcf44ecf8e066ce3251713c38afa8f17536273d6a15240b531706a95

Observation a50adffa-4252-4c55-b958-345e0d2ac4e2 · outbound

This paper cites LaProp: Separating Momentum and Adaptivity in Adam.

What makes a good feedforward computational graph? LaProp: Separating Momentum and Adaptivity in Adam

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.048372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.048372Z digest=sha256:6cdbdc060cdf218dd7d7aaf10ebb9a700db3b7a985360728d38c991af964b980

Observation f633c50a-2607-44b5-b05e-f6de496aed2f · outbound

This paper cites write newline.

What makes a good feedforward computational graph? write newline

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T14:33:16.051595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:33:16.051595Z digest=sha256:8955d87b7ae30e6c1cf848aac8d2abcbd099e321db10bcd3635a592934bf8cb8

Pith citing papers

No inbound Pith citation observations are available.