Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2602.13215.

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

pith.paper-citation-record.v1
2602.13215 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T11:48:50.587732Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:48:49.999005Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact14
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites PonderNet: Learning to Ponder.

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 2026-08-21T06:32:19.484+00:00.

Observation 48b832bd-07b3-4b4b-a3ea-702c784d7722 · outbound

This paper cites Longformer: The Long-Document Transformer.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Longformer: The Long-Document Transformer

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.799553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc704906-14c5-43a3-9175-00e084293445 · outbound

This paper cites The Consciousness Prior.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models The Consciousness Prior

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:50:52.809099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8897181-6760-4a82-a168-997cfdb18d24 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.814781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f6c6f70-552f-4f1d-9ead-0eb9edd9c3bb · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.811809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18a0e62c-33ee-474a-9528-d0cb10165e65 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T11:50:52.802578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a624811f-df97-43d8-a275-32d8201fa572 · outbound

This paper cites Hymba: A Hybrid-head Architecture for Small Language Models.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Hymba: A Hybrid-head Architecture for Small Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:50:52.833832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a339f8f-562c-4d51-afc2-97b15f311a07 · outbound

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Zamba: A Compact 7B SSM Hybrid Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:50:52.818598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f42d2cc-398b-4e91-b7f1-ea7926035346 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Adaptive Computation Time for Recurrent Neural Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.827980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4125ba9d-78a7-4fd5-80d5-c11a97db5108 · outbound

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

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.836641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99d5147a-0249-44a1-92a5-6664dee0b31d · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Jamba: A Hybrid Transformer-Mamba Language Model

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.844574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc0d1f82-4f9c-4c76-8a0a-76b837c8591a · outbound

This paper cites Rwkv: Reinventing rnns for the transformer era.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Rwkv: Reinventing rnns for the transformer era

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T11:50:53.162359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0022ec82-7cbd-4322-9d47-b445370b4794 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:18:02.305925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41dbce35-a554-4b68-9244-b6285de5609a · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Retentive Network: A Successor to Transformer for Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.841885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7d0313a8-11b6-471f-93c3-079cf5b58c9f · outbound

This paper cites Hierarchical Reasoning Model.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Hierarchical Reasoning Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.831212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8eb1fff1-0e02-45ae-ac9a-20c4fdf460ac · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Linformer: Self-Attention with Linear Complexity

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T11:50:52.839281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 839e6d1e-7e4e-4253-a082-ba6862a6619f · outbound

This paper cites Context-selective state space models: Feedback is all you need.arXiv preprint arXiv:2510.14027.

When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models Context-selective state space models: Feedback is all you need.arXiv preprint arXiv:2510.14027

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:50:52.825278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 15bf85ef-1f1f-4a30-9fee-f9fd7f5b5cfa · inbound

Memory for Large Language Models cites this paper.

Memory for Large Language Models When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T02:37:54.307962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a74dd468-523f-4682-9436-e3b1e5c2c112 · inbound

From Found to Designed: Concepts as a Design Axis for Large Language Models cites this paper.

From Found to Designed: Concepts as a Design Axis for Large Language Models When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T19:59:22.911024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9d8106-9558-472d-9ae2-bbc2249e2343 · inbound

From Found to Designed: Concepts as a Design Axis for Large Language Models cites this paper.

From Found to Designed: Concepts as a Design Axis for Large Language Models When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:48:49.999005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.