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Paper Citation Record · LEDGER

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2412.17737.

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

pith.paper-citation-record.v1
2412.17737 v6

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:17:50.586922Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:52:14.182478Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T00:52:14.275313Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf847e75-8dc5-4680-b84c-ae9afc9a71cb · outbound

This paper cites Zico Kolter.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Zico Kolter

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:51.082202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 39169499-2f7f-4721-99a2-d4f9289c5fdf · outbound

This paper cites Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:17:50.922192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fd00c3ad-403d-4346-977f-50549c73e31e · outbound

This paper cites an unresolved cited work.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.480775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.480775Z digest=sha256:50c049738601442429754a22b7a89603e97db108b01f43f298e6920b01fe8b64

Observation b249fb2f-50e1-4fd7-a467-628dd29ff67c · outbound

This paper cites The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11 0 (2): 0 127--138, 2010.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11 0 (2): 0 127--138, 2010

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.486950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.486950Z digest=sha256:afa846a38557a6cb3ab4860b08007295b69de2934c4e9980d5d49c86eaadac89

Observation ac172cbc-d47b-4aec-958b-c0637ede7576 · outbound

This paper cites Draw: A recurrent neural network for image generation.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Draw: A recurrent neural network for image generation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:51.054212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.494669Z digest=sha256:42f275dd0edd4ba4a03bf4852bb74930f660b975c0f6a34978cea5f4bc0ef11d

Observation 5ccc380f-baeb-4e9f-815f-dc745ccf6e77 · outbound

This paper cites Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support

Reference 6

Resolution
verified exact
doi, observed 2026-08-11T05:17:50.671664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.500416Z digest=sha256:bce25709dcbf007cf0765cb9049a8dd96838c9159d3d3f997e28a0a1bc002c3f

Observation 15d67a68-d4b5-4c27-b557-edc04ae7abeb · outbound

This paper cites Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T05:17:50.899079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.506362Z digest=sha256:bb7c1c65521c5204702ffcc50d23dc5f9c702c9ecbe08d215aee547583704b59

Observation 7b7d2847-3880-402c-94f2-c6119a023dea · outbound

This paper cites Hinton, Peter Dayan, Brendan J.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Hinton, Peter Dayan, Brendan J

Reference 8

Resolution
verified exact
doi, observed 2026-08-11T05:17:50.654581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f418315e-2d34-4229-ad22-7ff1abc1f156 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.517521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04846610-8a73-4df9-80a0-0a9a2c7f1486 · outbound

This paper cites Neural networks with recurrent generative feedback.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Neural networks with recurrent generative feedback

Reference 10

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ef82b48-ef29-43f7-87b1-e5f8ac24a962 · outbound

This paper cites an unresolved cited work.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:17:51.037445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.526797Z digest=sha256:e7744170569ba69ba7bcdc0e65dedfe6f052683fcf0bba29982378d5cb8aacd7

Observation c2478205-9e5b-4bb0-9910-8a898c67fdb4 · outbound

This paper cites Deep learning.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Deep learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.530895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.530895Z digest=sha256:78b34f0b6cd18be5f96aab303745a957c7cedd8df187c82e02a65a25b5044327

Observation 7ae02117-53d9-423d-8c8c-50654286ebce · outbound

This paper cites Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.535542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.535542Z digest=sha256:d274193b86323924bce797e68f27bd4a0dd545ba7e8ec4217ca6c5667814a901

Observation 4fc09cd2-bc9e-474e-8013-d37fd440c846 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback FiLM: Visual Reasoning with a General Conditioning Layer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.540373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.540373Z digest=sha256:18dc1eac867765b11cd2100198427442f880679a3e6f406a930e06c85644fda5

Observation 21299bc8-e303-4a95-a2f8-00fa9378437d · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Compressive Transformers for Long-Range Sequence Modelling

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.546090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.546090Z digest=sha256:d0d7702b31b87b01419eca290c4f170db394ff150208a83f66fdbd61eb8e9fd9

Observation 293c4a83-60e4-4582-9f5b-975161c4c080 · outbound

This paper cites Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:51.022187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.551740Z digest=sha256:cb50d003511dd486aada27f036ff001df3d8226f110fb4fc1aeae5baa818c3d4

Observation 9cd39966-744c-423d-96c6-e7ca7e144530 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback U-net: Convolutional networks for biomedical image segmentation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:51.003947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 975e9277-1ddf-49bc-924a-7619012b13ff · outbound

This paper cites Dynamic routing between capsules.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Dynamic routing between capsules

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 256fc0ef-89d9-47cd-8e41-48b4e232720c · outbound

This paper cites Recurrent convolutional neural networks: A better model of biological object recognition.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Recurrent convolutional neural networks: A better model of biological object recognition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:50.971647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.566374Z digest=sha256:6ce1eec14fa8c9cf5137768860f48b1be827be260d92903238cc9333a6289ec3

Observation 4cd55a65-0922-48b2-83b7-09b3781d5301 · outbound

This paper cites an unresolved cited work.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-11T05:17:50.626221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.571219Z digest=sha256:486c7fd9d251c57f1e71dbf8f3bf49b3e62b1695a9b2e55376ceb9992c5d6d7c

Observation f49cc8da-5017-4c50-a1ab-5a332a32d54d · outbound

This paper cites Long Range Arena: A Benchmark for Efficient Transformers.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Long Range Arena: A Benchmark for Efficient Transformers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T05:17:50.576602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:17:50.576602Z digest=sha256:3c118d7ca4ad05c79c505a64e109d93e80908d77e4372cf5e2e3e709ad1f334d

Observation 9f5ae3a1-1949-4ee8-84ee-da1c8896cf6b · outbound

This paper cites Recurrent attentive zooming for joint crowd counting and precise localization.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Recurrent attentive zooming for joint crowd counting and precise localization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:50.954729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.581985Z digest=sha256:eb186d912379d500ca42e8a8d07ed30baaaa0ab997c32b784f5640fc436843ac

Observation b19a2b90-04d8-438c-954b-630b33bdd6c6 · outbound

This paper cites Zamir, Te-Lin Wu, Lin Sun, William B.

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback Zamir, Te-Lin Wu, Lin Sun, William B

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:17:50.938686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T05:17:50.586922Z digest=sha256:57b6355ceffd0e32e2d2d52133ff60446713751079fedf84610ee9a70109de9a

Pith citing papers

Observation ddd7fc60-926a-4024-ae36-a7e25be86da6 · inbound

Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence cites this paper.

Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:52:14.280057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-09T00:52:14.182478Z digest=sha256:05f14c96d19123acba82f23036882f1273d6fb3fa7a54248ac7b18de89db97a5