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Paper Citation Record · LEDGER

Memory Transformer

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:06:54.117987Z

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 d3a1eba3-3bcf-4b5f-b9e4-9f59af8e6361 · inbound

Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation cites this paper.

Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation Memory Transformer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T19:06:54.117987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:06:54.117987Z digest=sha256:4f70a0f53fc22218c8427a144cca88b1e25cb826365d0951b73cb190331f06b6

Observation ea642133-f126-4478-9e44-bf271734c227 · inbound

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

Hymba: A Hybrid-head Architecture for Small Language Models Memory Transformer

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-12T16:20:32.792479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:20:32.792479Z digest=sha256:934f0aa04121d07e4e374efd7c823c591046392c1575ef114c5c8c88f4d29306

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T04:47:40.335477Z digest=sha256:b716e82d4cb766576350d2be2a57daa6d5c4368aa00f847aecb9fe580a89916a

Observation f352775a-2024-48ed-81e2-6e67d1547148 · inbound

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models cites this paper.

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models Memory Transformer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:56:39.509788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:56:39.509788Z digest=sha256:c019135dc51dd27189e60b55434168a0745b5bfc948f51dee8c636f51d2d1388

Observation 2f58ef98-16de-4205-866a-834a77060888 · inbound

SRMT: Shared Memory for Multi-agent Lifelong Pathfinding cites this paper.

SRMT: Shared Memory for Multi-agent Lifelong Pathfinding Memory Transformer

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:25.040064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:25:25.040064Z digest=sha256:cd1158aa12a162815a1783a661b63116ddbdb2994be74346da7ba6cbea58d074

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:dcb79bd6eeee587bf285e680b4b6993ff2daabba6b27a25c0dd07ab0f66f5af8

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=sha256:2e4d4a1271749b60419685c8b7ea2ad66ec1f7544cda8de3c0899c1f47d1ef07

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T05:57:52.610922Z digest=sha256:eca5b8e365358d00ea21d1c5ab875a662a55b6fd75b9d73038532188ceca07a0

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=sha256:3d99a6fcea9f8401b224713f30edc35f50e9e5c0f5cbae2b48a4232f89996f36

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T20:38:18.005002Z digest=sha256:b98891577671ff9968c7e34c4aeefebf44cb3a3bfe8f64561e9a202815f1a52e

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:fb093d8a7d5151fab2b32e83b56e04df27692e189f5f65fbf6adc4831d74a33e

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-11T02:21:23.325806Z digest=sha256:81ac9349b9268527676b13d06a02f307bd95988bf8d189f539d97c9b31ea28f1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T07:41:12.038619Z digest=sha256:15a9369dbbcbd0b8486c102dfb7313d56ba8cd55540f5e42b220673b5d953d07

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T04:01:01.993926Z digest=sha256:f0a63bceddf1fe5f344345ee464ae3edc051185733163d5c8927b376b2ac60a5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T06:02:40.158866Z digest=sha256:833373558e6d9663e37ace014e6c739a6dbe8bc66a1082f213d8480d03604049