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Paper Citation Record · LEDGER

PonderNet: Learning to Ponder

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2107.05407.

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

pith.paper-citation-record.v1
2107.05407 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:28:21.342403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.946645Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b0a65376-1db3-45be-add0-577f8291968a · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science PonderNet: Learning to Ponder

Reference 143

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verified exact
arxiv_id, observed 2026-05-13T05:53:22.092110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:8b4c5c1a7442a401ab1ea9df9b1f58131d34c457695c82b6016ebb283c80e7ee

Observation 4ef5ec52-c796-4d86-a821-abc1cf535f9e · inbound

Hierarchical Reasoning Model cites this paper.

Hierarchical Reasoning Model PonderNet: Learning to Ponder

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:58:03.580048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:58:03.283911Z digest=sha256:5e374cb7268782f19425cd6f911faf9d1e7323d6476e6eca29b2178fd76a0082

Observation 28faae89-997c-459c-845b-6edb9bfc1cd1 · inbound

Change of Thought: Adaptive Test-Time Computation cites this paper.

Change of Thought: Adaptive Test-Time Computation PonderNet: Learning to Ponder

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:28:21.342403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:28:21.342403Z digest=sha256:28652d977b91573c9099cfb82f12629f5207c58863b81a91e5b24936c59ef653

Observation 8907baea-6128-4e85-a2b4-14496ca93a97 · inbound

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation cites this paper.

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation PonderNet: Learning to Ponder

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T15:51:47.015805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:51:47.015805Z digest=sha256:9d29a5703043ca02d8b1a055de06ef785b757d6b389fb6dc644792031f1400bc

Observation 68e0663d-52d8-4efc-929e-76cd6a20fd10 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models PonderNet: Learning to Ponder

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:43:11.827778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:fe32813b2ad868dfb5480a3b839beab58dc82e2a5816f0993b9a5d35c63ccac0

Observation 328776b6-ba07-44b7-a147-e75583af4e75 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models PonderNet: Learning to Ponder

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T07:31:30.750415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:31:30.750415Z digest=sha256:8a5e4ef3534e891fa477fc67df22165d61b498bad9860546fc66d90e4f8b18cd

Observation 5554fabb-e80d-4a4a-866a-e994eee42072 · inbound

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models cites this paper.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models PonderNet: Learning to Ponder

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:50:52.806057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T11:48:50.587732Z digest=sha256:2fb62b6791a06f2f4bc1bcc25d3bb8f7057e66dde4d25dc882fe9811ffc46b1e

Observation acae3efc-05c2-4541-a175-4ab47fdcf76f · inbound

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers cites this paper.

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers PonderNet: Learning to Ponder

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T22:08:40.003709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:08:40.003709Z digest=sha256:847adc6c700605e6becd81998219941ff2cf2d7abe23595cf896b60b462c6fa5

Observation 0f86e9a5-1012-44ae-9e82-819996469472 · inbound

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks cites this paper.

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks PonderNet: Learning to Ponder

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T17:37:48.807916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:37:48.807916Z digest=sha256:0e9fc74ea48d6ca6bfd5e9491437fcf95fd014932b0c473d64dd9549e8dd7442

Observation 25990763-3324-4904-ad94-e6ef127ac48e · inbound

A Mechanistic Analysis of Looped Reasoning Language Models cites this paper.

A Mechanistic Analysis of Looped Reasoning Language Models PonderNet: Learning to Ponder

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:02.964220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:1ae3d60c068a310f1be917059d33a361c95f98d434224cfeef39c7b2710f79b1

Observation 088e9859-6dbc-4248-845f-9460699a5f47 · inbound

Stability and Generalization in Looped Transformers cites this paper.

Stability and Generalization in Looped Transformers PonderNet: Learning to Ponder

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:25:22.713876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:21:16.015362Z digest=sha256:4fb594745b300c94076d8827d544277ae10a59def24c1c8d3b765657276c2439

Observation 5ce1d9a2-e2d7-4654-b268-acae743591d1 · inbound

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning cites this paper.

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning PonderNet: Learning to Ponder

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:15.475793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:73273c9f6ee767526c051abd3ddd6612598785628b1d60dc6197644889ae997a

Observation f7f2d05a-15d5-496e-aa78-32b8c324393e · inbound

Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement cites this paper.

Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement PonderNet: Learning to Ponder

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:04.362989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:48:15.641442Z digest=sha256:812b9282d5fda763a41bb393f434199c01ca5d2a1347a7e09f4c9f8719e402dc

Observation 33be4c06-488e-4721-867c-cc1efff80454 · inbound

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents cites this paper.

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents PonderNet: Learning to Ponder

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:21:23.336400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T17:16:00.988125Z digest=sha256:4194eb09075566cc6e14fee1d5990bfe74a638c2bd6e33824cdc30d7ad0e26b9

Observation f05a5ecc-b432-44cd-9c9b-2d87aec7c7fe · inbound

Training-Free Looped Transformers cites this paper.

Training-Free Looped Transformers PonderNet: Learning to Ponder

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:36:36.841157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:36:10.278337Z digest=sha256:4bddcd70f62c111b92a81e63f3137f66562ad3274a565b7fbd845cd0b4140f5d

Observation baff77aa-e468-4d2f-91cb-67379a675413 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs PonderNet: Learning to Ponder

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:49.003549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T18:06:01.684713Z digest=sha256:1a4600dc0a2323abc6da184d3aa01debe121f9c0923ea56cba8c43e66150d55d

Observation ae092dc1-3ac1-45e5-83ac-b74b10a1e2a4 · inbound

CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models cites this paper.

CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models PonderNet: Learning to Ponder

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:30.440137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T14:03:33.179735Z digest=sha256:4826f120866304d81bb73d88401dc3eae2ef0de03c8f06d5cb829636f6c0c3cd

Observation 22febac3-1908-4045-8fd9-f0a63a7b7765 · inbound

A Dual-Path Architecture for Scaling Compute and Capacity in LLMs cites this paper.

A Dual-Path Architecture for Scaling Compute and Capacity in LLMs PonderNet: Learning to Ponder

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.335089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:42:07.969657Z digest=sha256:3160802e3a31e55de1cd8ca899c88b0e1e520275c89d862c300ba7580fc962e2

Observation 2f4827eb-d725-466c-a3fe-4dac96167201 · inbound

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers cites this paper.

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers PonderNet: Learning to Ponder

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:18:59.675977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T00:38:47.350106Z digest=sha256:1fca69ebc9ebecd7377a95aef88e73ca585a5d4bd1bfa84a2db4a4350ebc321e

Observation 3bd5e717-bd0f-4ca0-a793-25e3dd7c52c6 · inbound

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models cites this paper.

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models PonderNet: Learning to Ponder

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:44.019617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:27:48.590008Z digest=sha256:e6cddc1a4100b5474e07501bc4dee3e5128c00e89e4ae63dfc5cd27f844735d2

Observation 6080d74c-c9cf-4753-a7d6-f9069da12229 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL PonderNet: Learning to Ponder

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:51.947958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:08:19.504454Z digest=sha256:51cd0d701f1b49d74b5df0bf6d496b080829f3e3eea7889290b268828c367e51

Observation 2d8fcb70-f5d9-4724-a4cf-4aa4da19b283 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL PonderNet: Learning to Ponder

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:34:34.911068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T09:26:31.944405Z digest=sha256:921db3f1e9b08adfc696911c78639bf19db2380def7e001cf810a7b8c35ad981

Observation f7fb284b-b29f-48f0-8c16-b0d431e80993 · inbound

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping cites this paper.

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping PonderNet: Learning to Ponder

Reference 17

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verified exact
arxiv_id, observed 2026-06-30T07:34:21.643236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:29:23.786653Z digest=sha256:29767182f206286c02cc7fd5e8a79a56f2368b99dec7067b7e18e0f980f5be7f

Observation d7e32033-9e93-4cb3-a156-1c7dc98077ef · inbound

Review Residuals: Update-Conditioned Residual Gating for Transformers cites this paper.

Review Residuals: Update-Conditioned Residual Gating for Transformers PonderNet: Learning to Ponder

Reference 13

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verified exact
arxiv_id, observed 2026-07-01T06:45:29.839720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:38:06.546686Z digest=sha256:399edc5a02b39466e74bd03d1cad50e4de46e9cb798215992efa86ed2b595058

Observation 61dbaa89-ca62-40c4-9e8f-bea2c5954bb6 · inbound

Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR cites this paper.

Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR PonderNet: Learning to Ponder

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T09:35:44.381743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:35:44.381743Z digest=sha256:dcb29f2050baaaacfa3d254ce99eac3143d563be04b26ed2e393731ddc18a846

Observation 510c67af-104e-4bfc-9844-452230aa1760 · inbound

Adaptive Compute in Latent World Models: When Depth Helps, Hurts, or Doesn't Matter cites this paper.

Adaptive Compute in Latent World Models: When Depth Helps, Hurts, or Doesn't Matter PonderNet: Learning to Ponder

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T07:23:44.617504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:23:44.617504Z digest=sha256:c068effe283ede661deb3f162eba244bb8b3e3d3fb0779246355722728f63391

Observation b6f7a5b9-75b6-4985-8d5c-754b090c43a7 · inbound

The Equilibrium Is the Initialization: Lazy Identity Collapse in Physics-Structured Deep Equilibrium Reasoning cites this paper.

The Equilibrium Is the Initialization: Lazy Identity Collapse in Physics-Structured Deep Equilibrium Reasoning PonderNet: Learning to Ponder

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T06:57:31.514910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:57:31.514910Z digest=sha256:cdd27afc01572fe2431c5d13b99d9451474cc0565c0107da84a8f761abd8f846

Observation 9a32a304-b21d-4a35-afbe-ab95480ae931 · inbound

DeepLoop: Depth Scaling for Looped Transformers cites this paper.

DeepLoop: Depth Scaling for Looped Transformers PonderNet: Learning to Ponder

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T05:05:24.981055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:05:24.981055Z digest=sha256:a95271ff5b3b0d62d43fd74e97b7dedc2188e6db443157dd0945cd64b3c54a09

Observation d4575402-d871-496d-a3e7-56479f56c5e5 · inbound

Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers cites this paper.

Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers PonderNet: Learning to Ponder

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T02:11:13.947284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:13.947284Z digest=sha256:314d1231356d728cf5e316ac23868a5cfc0c701a60412679c043fc8cbbbf5e5b

Observation 2a202002-1871-4682-b60c-d6231fe49a92 · inbound

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts cites this paper.

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts PonderNet: Learning to Ponder

Reference 2021

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unresolved
no resolver link, observed 2026-08-02T08:13:27.955279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:27.955279Z digest=sha256:a521b5a2bc2121dd359f9a2666e799e19a2cafce79b4142255bda09f8a799842

Observation e0566e4b-55d9-47c0-b8eb-f3a6db0772f1 · inbound

Dynamic Parameterization Is Not Dynamic Inference cites this paper.

Dynamic Parameterization Is Not Dynamic Inference PonderNet: Learning to Ponder

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T00:35:16.995160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:35:16.995160Z digest=sha256:29082211f6ae4f28ad7b84264768dd2b86d563018dbb08133057a51c40dbef37

Observation bd53b1bb-93c3-47c5-ab03-7f7c662fa365 · inbound

LoopMTP: A looped transformer guided by latent multi-token prediction cites this paper.

LoopMTP: A looped transformer guided by latent multi-token prediction PonderNet: Learning to Ponder

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T15:54:10.095999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:54:10.095999Z digest=sha256:e19e63dd357865758054a9d372f5124c5134201a4d72bced1dfef55ca542f4be