Paper Citation Record · LEDGER

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2501.18356.

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

pith.paper-citation-record.v1
2501.18356 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:52:06.141204Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:29:20.805599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:11:08.119866Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy2
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 842e2fa5-f0fd-4b7f-8c2c-bfcb8d5a9be8 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.037131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4946f2-1ade-4071-a21a-7f9f995a6353 · outbound

This paper cites Scaling Laws Do Not Scale.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Scaling Laws Do Not Scale

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-09T23:52:06.387115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94785d88-c081-4f91-b396-9dce7391fa49 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.047024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67d01e4-a6ce-4ff5-9826-5e2a2b61234a · outbound

This paper cites How Reasoning Works,.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence How Reasoning Works,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:52:06.435451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58710b6a-8e17-4e67-ac63-88654657d5d3 · outbound

This paper cites Emergent Representations of Program Semantics in Language Models Trained on Programs.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Emergent Representations of Program Semantics in Language Models Trained on Programs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.060357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae666ff-4b37-4ac4-b1a2-8828e38e4120 · outbound

This paper cites Do Large Language Models Latently Perform Multi-Hop Reasoning?.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Do Large Language Models Latently Perform Multi-Hop Reasoning?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.065071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b85cd8f-0101-4875-aaea-44434c58b1a5 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Reasoning with Language Model is Planning with World Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.070466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc4f66f-3c5b-4593-a5b5-743d270abc38 · outbound

This paper cites Implicit Chain of Thought Reasoning via Knowledge Distillation.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Implicit Chain of Thought Reasoning via Knowledge Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.074738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f7bc4d-1906-49ea-a1cf-3998f52b7555 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.079383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4273e4b1-ed6a-46a3-9c51-320fbce35ef8 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Training Large Language Models to Reason in a Continuous Latent Space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.083525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7daf0989-7c4b-4e2a-b411-ffe2850596ab · outbound

This paper cites Deliberation in Latent Space via Differentiable Cache Augmentation.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Deliberation in Latent Space via Differentiable Cache Augmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.087441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31284ef1-5004-459e-8fd5-3e14844b68af · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence MemoryBank: Enhancing Large Language Models with Long-Term Memory

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.091559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1917f71e-743e-4070-8448-210fc12ae2e0 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Improving language models by retrieving from trillions of tokens

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.095423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c21a6fc-245b-40c6-954d-7b579c69a9a3 · outbound

This paper cites Universal Transformers.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Universal Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.099452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1391b5f-541e-4818-a5e6-5dcd25a78d5c · outbound

This paper cites Meta-llama/Llama-3.1-8B-Instruct,.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Meta-llama/Llama-3.1-8B-Instruct,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:52:06.411801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5027acf8-7c6d-41cf-936f-08b049d1deed · outbound

This paper cites The Llama 3 Herd of Models.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.108044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bddd36-f1cd-4caa-b12d-618c4891dd61 · outbound

This paper cites Root Mean Square Layer Normalization.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Root Mean Square Layer Normalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.119873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7980b418-4801-4d33-8f27-35b39ca02af1 · outbound

This paper cites Attention Is All You Need.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Attention Is All You Need

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.115871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba55c7d-ebd0-413f-be2f-c0d774be5fa5 · outbound

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

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.129331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a04d38-42bd-4c3f-b121-0d20a683970e · outbound

This paper cites Guiding Language Model Reasoning with Planning Tokens.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Guiding Language Model Reasoning with Planning Tokens

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.124510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1af651-3737-4743-90aa-bc233b05b0c1 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.141204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e33c29-4219-4f36-8f9e-2db076c5ff55 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T23:52:06.137684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfa5356-b40e-4843-8d96-0d790024a746 · outbound

This paper cites an unresolved cited work.

State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:52:06.423348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 39e381f6-ee7e-432e-a854-dae290860bba · inbound

State Stream Transformer (SST) V2: Parallel Training of Nonlinear Recurrence for Latent Space Reasoning cites this paper.

State Stream Transformer (SST) V2: Parallel Training of Nonlinear Recurrence for Latent Space Reasoning State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:11:08.125350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.