Paper Citation Record · LEDGER

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.15983.

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

pith.paper-citation-record.v1
2412.15983 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:56:33.229857Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

38 of 38 outbound references displayed

verified exact4
verified fuzzy13
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf1d8ca2-a7d0-4c6e-9e6c-46f6eae935de · outbound

This paper cites Finding structure in time,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Finding structure in time,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:32.977808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f692704-9494-430f-9f04-bef00a510ae1 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Neural networks and physical systems with emergent collective computational abilities,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.366844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c372dae3-2c0c-4c24-aa6c-3c00ffc97242 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:32.991870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7510738f-745e-4d7a-acec-793b96b3703f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Efficiently Modeling Long Sequences with Structured State Spaces

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:32.997889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea6b151-2d96-44c7-8652-f65050171065 · outbound

This paper cites Resurrecting recurrent neural networks for long sequences,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Resurrecting recurrent neural networks for long sequences,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.005956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81117a0f-1d85-43c5-9506-c3f39b54c99d · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Simplified State Space Layers for Sequence Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.013099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e8fd1d-7d59-4341-aa25-18f6b08e3be8 · outbound

This paper cites Surrogate gradient learning in spiking neural networks,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Surrogate gradient learning in spiking neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.328630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f7eeb7a-b92b-44d3-8b66-37f55da03682 · outbound

This paper cites Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.030401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff349b7-59e5-46d5-868a-77b1bba50254 · outbound

This paper cites Attention is all you need,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Attention is all you need,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.036790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64762a6c-af2e-4a5b-9076-530d574d281e · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.043639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adacdd0d-a2ce-4581-82b1-df7b13834a66 · outbound

This paper cites Language mod- els are few-shot learners,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Language mod- els are few-shot learners,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.050097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd226dcc-4d70-4010-a9d8-95583c6e2db7 · outbound

This paper cites Formal Language Theory Meets Modern NLP.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Formal Language Theory Meets Modern NLP

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:56:33.624107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aadd0903-465a-4048-9426-f3772f7e6259 · outbound

This paper cites Stuffed mamba: State collapse and state capacity of rnn-based long-context modeling,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Stuffed mamba: State collapse and state capacity of rnn-based long-context modeling,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.064442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b2164a-648e-4326-be04-174a314cb38f · outbound

This paper cites Computational capabilities of neural networks,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Computational capabilities of neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.240423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ac2e087-e486-444c-b3a3-4a21c602d62a · outbound

This paper cites Neural networks with recurrent operations for processing arbitrary-length sequences,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Neural networks with recurrent operations for processing arbitrary-length sequences,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.195371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1078581d-6a1f-4fca-a502-338a05d026eb · outbound

This paper cites Neural Machine Translation in Linear Time.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Neural Machine Translation in Linear Time

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.084928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b2e025-4163-45d1-8a45-edd7b6f83236 · outbound

This paper cites Attentive decision-making and dynamic resetting of continual running srnns for end-to-end streaming keyword spotting,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Attentive decision-making and dynamic resetting of continual running srnns for end-to-end streaming keyword spotting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.165449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7314ab5c-18eb-4138-a9f1-853d61ca8dea · outbound

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

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Long Range Arena: A Benchmark for Efficient Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.099122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c1e7050-a793-405f-a9d9-caf828476441 · outbound

This paper cites Generative Models of Brain Dynamics -- A review.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Generative Models of Brain Dynamics -- A review

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:56:33.420120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 738385ee-a6dd-410b-a370-b3fa0a77c169 · outbound

This paper cites Reservoir memory machines as neural computers,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Reservoir memory machines as neural computers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.143590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a193ce3-404c-4f55-b0aa-4d73ec60678b · outbound

This paper cites Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:56:33.386640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed35c084-3564-45e3-ae0c-ae8b444d9c09 · outbound

This paper cites Efficient modeling of long sequences with structured state spaces,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Efficient modeling of long sequences with structured state spaces,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.117992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ccb582f-498d-42fb-9b21-25ff16cc79a1 · outbound

This paper cites Decoupled Kullback-Leibler Divergence Loss.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Decoupled Kullback-Leibler Divergence Loss

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.130738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 458fd37d-fec0-47e7-9fd8-fef2bd7054c1 · outbound

This paper cites On the difficulty of training re- current neural networks,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks On the difficulty of training re- current neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.087765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb225191-8523-4af0-b7b0-092aea7ebcce · outbound

This paper cites Learning long-term dependencies with gradient descent is difficult,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Learning long-term dependencies with gradient descent is difficult,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.142730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee8b0d8-83f5-4971-abbf-074fb53e619b · outbound

This paper cites Learning to forget: Continual prediction with lstm,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Learning to forget: Continual prediction with lstm,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.033365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dbc9fc86-1a23-4db0-af02-c612a2c0d8b9 · outbound

This paper cites Surprisal-Driven Feedback in Recurrent Networks.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Surprisal-Driven Feedback in Recurrent Networks

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:56:33.322322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05f94a2e-f0bb-4561-8369-c5fb31bd959c · outbound

This paper cites Reading selectively via binary input gated recurrent unit.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Reading selectively via binary input gated recurrent unit

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:34.002682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6bea2793-207e-4d01-ac94-c5fce7622a83 · outbound

This paper cites Long short-term memory,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Long short-term memory,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.165580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c63eb2-e5b6-40d1-bda7-f2e38ac42d74 · outbound

This paper cites Lyapunov-stable deep equilibrium models,.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Lyapunov-stable deep equilibrium models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:33.958564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 011a4617-a989-4c8d-9422-be6d36464fee · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T10:56:33.175994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cd730e-be5f-4d38-a753-55025c14fe8e · outbound

This paper cites an unresolved cited work.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:56:33.929593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15acac95-c1d1-4242-963d-48373bd0a0cc · outbound

This paper cites This convergence limits the network’s ability to capture new information.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks This convergence limits the network’s ability to capture new information

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:33.894213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f696b9c-3d36-483f-bf4d-7840899ff7ae · outbound

This paper cites an unresolved cited work.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:56:33.865745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d967e18-7399-4d2b-b66d-bca8ea634483 · outbound

This paper cites an unresolved cited work.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:56:33.844367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e3faa840-4548-4863-8dc2-0bd921da3930 · outbound

This paper cites an unresolved cited work.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:56:33.820021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 558c71d6-291b-4009-bc93-b4df036e876a · outbound

This paper cites an unresolved cited work.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:56:33.782396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 745da528-e118-4fc3-8a60-6ba2d055eb60 · outbound

This paper cites APPENDIX B TRAINING We implement all experiments using the AdamW optimizer with a batch size of 512 and an initial learning rate of 3e-3 across all experimental conditions.

Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks APPENDIX B TRAINING We implement all experiments using the AdamW optimizer with a batch size of 512 and an initial learning rate of 3e-3 across all experimental conditions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:56:33.754666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.