Pith. sign in

Paper Citation Record · LEDGER

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.24601.

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

pith.paper-citation-record.v1
2505.24601 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:17.280781Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

  • verified exact5
  • verified fuzzy2
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5877ef9-8e61-432d-890a-9945167331a5 · outbound

This paper cites Incremental Concept Formation over Visual Images Without Catastrophic Forgetting.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Incremental Concept Formation over Visual Images Without Catastrophic Forgetting

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:18.236838Z

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=2026-08-07T12:24:16.388859Z digest=sha256:9ab5dc592e56cbda0663e6f221b0a97274e961c3d1b63130e23cf1e6a2e50bae

Observation e65c445c-c2ef-4b1a-80ec-2df6f729ea3e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Adam: A Method for Stochastic Optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:17.144092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.144092Z digest=sha256:3eaa85d6652fe175ffc1d6f96e435112513664b57f8ccbcc2c3c414164949372

Observation 7a713d4a-ac97-49f3-b995-204c984fc3cb · outbound

This paper cites Efficient Induction of Language Models Via Probabilistic Concept Formation.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Efficient Induction of Language Models Via Probabilistic Concept Formation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:17.460050Z

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=2026-08-07T12:24:17.258168Z digest=sha256:fc96676162206137951ccf092588984cb5090d88b8f6ae424e309f8ccf3aa8fb

Observation 1a6b50a6-707c-4fc3-a321-79a7e958096c · outbound

This paper cites URLhttps://proceedings.neurips.cc/paper_files/paper/2001/ file/7b7a53e239400a13bd6be6c91c4f6c4e-Paper.pdf.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing URLhttps://proceedings.neurips.cc/paper_files/paper/2001/ file/7b7a53e239400a13bd6be6c91c4f6c4e-Paper.pdf

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:18.406593Z

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=2026-08-07T12:24:17.280781Z digest=sha256:ec2662d9be1893b92d445fbaa008960d2b585284b7494a0fa8787c1de7ef4d73

Observation 81b6500f-9f05-4a20-ac5f-88a4e7f65a90 · outbound

This paper cites Jordan and R.A.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Jordan and R.A

Reference 1983

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:18.650770Z

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=2026-08-07T12:24:16.961105Z digest=sha256:4dc3bcc7b861f077217bd65d3783b3952e34f3eaebb131555d0efc46f10a39f0

Observation 84a61821-74a8-48f9-b683-30558af2d081 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 1992

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:16.500687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.500687Z digest=sha256:e3a58ff97c6ef9cebe633e7df8fc5e594e7d3b689effa72e9e6885b2b8d13d0a

Observation b8a7dc93-7f67-49bf-b6ad-f5efc4e46981 · outbound

This paper cites Henry Kautz.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Henry Kautz

Reference 1993

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:17.055983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.055983Z digest=sha256:8a73340f61d2532c6be7348ddef8cf72106c2785dbd2bcbc64037d8d119e9c11

Observation d7251cdb-2ee4-47d9-adf9-58515fa83810 · outbound

This paper cites From Statistical Relational to Neuro-Symbolic Artificial Intelligence.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Reference 2010

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:18.049009Z

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=2026-08-07T12:24:16.586202Z digest=sha256:6827589c8021bbe610a216a58f9808e3bbc6d386c2a35e641b4948e5b8e4bad8

Observation 420a2b3e-e7c9-429c-a326-25bfb5c2a94a · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Categorical Reparameterization with Gumbel-Softmax

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:16.851402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.851402Z digest=sha256:d2295eeaa16b5e202d08ca07819f27a1a4e1c133b2c643ab604d9f62bf68fb66

Observation 1044dee2-9ff9-4b7e-a68a-301e3cb3fabb · outbound

This paper cites Toy Models of Superposition.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Toy Models of Superposition

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:16.676898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.676898Z digest=sha256:672285d2a8a66fd847160a1e5219b04d343d0a1aeab6bd330bced36f6497cdb7

Observation f23c741c-6798-4160-a41a-fc44e318d4c1 · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:16.762285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:16.762285Z digest=sha256:fffe59139ddac7646bf7423c327dfb26980e4e7ddef6c324162cc7d497675b58

Observation 41bc55b1-07dc-4b7d-ae97-2507dc175d16 · outbound

This paper cites Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:17.749763Z

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=2026-08-07T12:24:17.188400Z digest=sha256:acb61a002c139efca781980e7bcb33f3aed91bc3982be096b5199c0428f615d0

Observation 56be5c45-c6f8-4f00-9068-5696af9932c7 · outbound

This paper cites Convolutional Cobweb: A Model of Incremental Learning from 2D Images.

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing Convolutional Cobweb: A Model of Incremental Learning from 2D Images

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:24:17.606108Z

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=2026-08-07T12:24:17.215129Z digest=sha256:6f832529c3482f66c8fd2e705d31da607415a182ae2a0784bf5db506ce5a96d6

Pith citing papers

No inbound Pith citation observations are available.