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Paper Citation Record · LEDGER

Memory Transformer

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2006.11527.

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

pith.paper-citation-record.v1
2006.11527 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:28:43.328174Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:40:36.195682Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cff7203c-aa12-456a-9d80-117a2a2c9d9d · inbound

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations cites this paper.

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations Memory Transformer

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:47:40.462075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:47:40.335477Z digest=sha256:b627a5f968f9d4d2c3a1b0f3bd2a1f37e3bd25cc89e5912729311aa8107060ab

Observation 113438f2-eed1-4eae-998e-69c94f897aa6 · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Memory Transformer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:43.328174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.328174Z digest=sha256:ee9675ded2b39bfb92cea3df925e5ef6e6cdf5d1a709965d50aff7511f7aa99e

Observation 0ae2c7e1-cdaa-41c2-9aee-55a4065ee2f1 · inbound

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers cites this paper.

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers Memory Transformer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:57.036007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:57.036007Z digest=sha256:d43636cc959163f4d553d7ae20c31983e171e521f9b9584424504c286fa2c19b

Observation 5094e250-aae2-4a75-b2e7-db14435e8e57 · inbound

Learning to Insert [PAUSE] Tokens for Better Reasoning cites this paper.

Learning to Insert [PAUSE] Tokens for Better Reasoning Memory Transformer

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:06:17.086010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:06:17.086010Z digest=sha256:5ef230062c19f7d79277d09e7887ea47d7d81e23e44254c49f3cf8a18a17a8a6

Observation a34adf0b-0f87-4d47-b2cd-001c3650ff79 · inbound

MIRIX: Multi-Agent Memory System for LLM-Based Agents cites this paper.

MIRIX: Multi-Agent Memory System for LLM-Based Agents Memory Transformer

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:57:52.647917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:57:52.610922Z digest=sha256:44388a2e5e0d1572e5363c42a06183873b4509404628b6563e125b44c6fef1d2

Observation 71319e7c-0516-4a6c-884e-609e1aec050b · inbound

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens cites this paper.

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens Memory Transformer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T23:45:27.668258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:45:27.668258Z digest=sha256:4682ce3cde24294b770e6ee31520954e5f344dccb100b3102b83d2b8c5a362b8

Observation b26451fe-d172-48bc-96d4-a3c9432bacbe · inbound

KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion cites this paper.

KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion Memory Transformer

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T14:43:58.550127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:43:58.550127Z digest=sha256:abcdfcff6618244ad290e7c4f4a61c13ca2f5f9249702ff429306c0a7874c0e3

Observation 7b8bef3b-c99c-407b-b864-cff0d1054f5c · inbound

Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.

Deep sequence models tend to memorize geometrically; it is unclear why Memory Transformer

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:40:36.197625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T20:38:18.005002Z digest=sha256:98fdd728faf3a5216ce910ce334e6df6d1b1c3b56657e590fb08406ace792a10

Observation 658634b2-8d10-43db-9d69-a8ee48dc35a7 · inbound

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning cites this paper.

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning Memory Transformer

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:15.505598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:0953f2ba8431a83d5afd5d4ecf564c9d339ebc0f7f1f3bc45f7e5f7461652d05

Observation 7f1b2e19-b8d8-40c6-b385-577a70ae9835 · inbound

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Memory Transformer

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:45:56.257111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T02:21:23.325806Z digest=sha256:c035b25a36a031fbf22f917ce2dc7786f242a97b88f6fe46d0d0303070cba3bd

Observation 9a6a5926-66f7-4863-b7b4-8b41494d2715 · inbound

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Memory Transformer

Reference 98

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T07:42:30.511841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T07:41:12.038619Z digest=sha256:219b23eea807a9f4e42713ede1b49c231d3bd41649322e9d108b85d853d8225f

Observation d1bf92ae-94fc-4ad5-b187-fe2382726194 · inbound

Mela: Test-Time Memory Consolidation based on Transformation Hypothesis cites this paper.

Mela: Test-Time Memory Consolidation based on Transformation Hypothesis Memory Transformer

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:32.403182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:01:01.993926Z digest=sha256:8f388ffc088dc6c51f769bcb6b8963d227b989f2f9b2a8f406538a81b13fd10f

Observation 841bf357-700e-4466-8b4a-d90942c98450 · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Memory Transformer

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.521958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:02:40.158866Z digest=sha256:c06948a7c585fddc518763712be8396c654754638050386e36da0837671e118e