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Paper Citation Record · LEDGER

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

As of 5 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 52 inbound Pith citation observations for arXiv:2601.07372.

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

pith.paper-citation-record.v1
2601.07372 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:11:08.621947Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 52 of 52 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:29:18.675199Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 125c5cb4-67ab-4190-a979-649592cee87b · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 184

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unresolved
no resolver link, observed 2026-08-03T11:11:08.617260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:11:08.617260Z digest=sha256:bcd6a6e52fc178ec4f54407e3b9740a24c8daf13c519e0e72c423b49e7179da9

Observation d09894e6-ad3a-42fe-bb7d-02359cad7714 · outbound

This paper cites Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models.

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T11:11:08.621947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:11:08.621947Z digest=sha256:b85581cd47947fae9c4f6511814b93e698f374b44455bc77d8c5afe020735573

Observation 2f6994ee-833b-4d18-9f6b-97262cfc7be0 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2378

Resolution
unresolved
no resolver link, observed 2026-08-03T11:11:08.611735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:11:08.611735Z digest=sha256:0c8be637e2cf2d360c7aea378cce25f84aa47dd24070aa582c26bfb594e6d21a

Pith citing papers

Observation c51c285c-7847-466a-9cf1-c225799c2643 · inbound

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens cites this paper.

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T16:00:03.578685Z digest=sha256:7c5ea76b5f5cb62cffa842096f389990bd00a0c7762535041e84993a412ff512

Observation 841fb43f-4845-479a-bc84-4f8240cb83d5 · inbound

Decidable By Construction: Design-Time Verification for Trustworthy AI cites this paper.

Decidable By Construction: Design-Time Verification for Trustworthy AI Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:43:45.198512Z digest=sha256:8b2397a758bc0153b8afa558b5e817ccff1cb830bf7b7338d24cd6336f467645

Observation 888b1d78-a7de-436a-b97f-055050f49dc8 · inbound

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization cites this paper.

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 4

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T22:17:13.431164Z digest=sha256:b386ad725559b87f3780a528a742bbcc2d2c7a5493069e6acd6a6d94de002123

Observation d2132d71-7dc6-45fd-a27e-6ecf369e8154 · inbound

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining cites this paper.

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 8

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arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:58:46.821857Z digest=sha256:62618ee7daabfae1ffa144c1a1ca623c97d5d56bff82a24205d3d045bed5b061

Observation a3fa2210-7e3a-47ab-8119-549983171449 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 7

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:46:59.581486Z digest=sha256:29fb37b41eefea50d7b97888ff7e89c22b24ea0348e8543b17b19caf87e1c1a0

Observation 6ec8b0e4-6a05-4476-94e8-a11770a5267b · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 7

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verified exact
local_arxiv, observed 2026-05-21T09:34:57.120651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T09:34:16.292323Z digest=sha256:570e0574d1ed1a3418465c6cf3fc94c391866858b93777479c59ad7ed0cdee0e

Observation 03041826-d9a0-4aeb-a400-49e3ed26be4c · inbound

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering cites this paper.

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 22

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arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:c2fbb50e60c7790fe28df7b754fe3621a1c4877bd933763f91b01cf38439e568

Observation b0fdaa8f-4671-4880-8064-66f5fce2fba5 · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T17:42:31.465077Z digest=sha256:97ada7795861313b094c75c59d47d9576025fb2daf99d0bb469fb52480238b87

Observation 1f4da862-42a4-4883-92f6-6af5516f5b65 · inbound

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping cites this paper.

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 40

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:34:31.715954Z digest=sha256:a67547e1fb100488d72c52d531cb518656efc544e8fae1389e7dfa4fe5f8bf67

Observation 6dae30c5-e164-4847-9b8b-be55add85dac · inbound

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling cites this paper.

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T22:28:26.681945Z digest=sha256:89e3b126e83094ce9f9e8f14f39b49c8c6117c5ad31fd4638ee63364a3f7ab4e

Observation 3c41a122-3f89-463d-aabc-8ac9b8954223 · inbound

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation cites this paper.

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T10:05:24.009460Z digest=sha256:6c0ac24fa21158c595c512d08cea6df532acc0f28e9b202eff8ac06178a42b60

Observation d4d42306-7c63-4387-a689-c1a9fc8fd9eb · inbound

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation cites this paper.

Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T06:58:22.362262Z digest=sha256:3b09aa06034650eae67f2b4e6e77fa981e01a7e934d8242d360f8c9d5c142083

Observation fcb822c7-b17f-42a3-8f24-4da4ce46e9a0 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T18:53:06.494640Z digest=sha256:5b24202df5aafe09e28302a9d4416a8cd1eef632c04a6e6ba3a75e6baf34d021

Observation b393deaa-e210-4084-8de0-32d82da96554 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:49:15.136031Z digest=sha256:163b5d60d7ea1ec290d93b34a245dfc76add79338baad07fcb987d4ecf944707

Observation 2083d652-045c-4605-be15-e897bdc37057 · inbound

Contextual Memory-Enhanced Source Coding for Low-SNR Communications cites this paper.

Contextual Memory-Enhanced Source Coding for Low-SNR Communications Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T17:22:41.484860Z digest=sha256:d5d505f0a5314c1345639cd71540cd7eefc9140884a1978651d98acf432181e4

Observation 4ae1cbee-3701-4896-829c-ed0198f41c7e · inbound

When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $\ell_1$-norm Lower Bounds cites this paper.

When and Why SignSGD Outperforms SGD: A Theoretical Study Based on $\ell_1$-norm Lower Bounds Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T12:14:28.866499Z digest=sha256:b75fb1b19590528bd22c665a33bc561e8c56395c511ec1f46e27c3b83f30ee1f

Observation de65d8de-1d45-4bb9-81a2-58f3c172c659 · inbound

Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model cites this paper.

Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 36

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:33:31.231685Z digest=sha256:0ce05d7d0682ee1fc73a1d1cf21898efed212aa7816bd6af1a4876ba873886c8

Observation af5044db-ef97-4ee1-8bbc-96aef3d8e338 · inbound

Conditional Memory Enhanced Item Representation for Generative Recommendation cites this paper.

Conditional Memory Enhanced Item Representation for Generative Recommendation Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T02:30:29.654122Z digest=sha256:07211f23fdf8ab2cf9a0152b7f0e3de1657ac685633235bffa2492dcee56209f

Observation 6cd32407-95cd-4c8a-9f53-31a3e7e6d02a · inbound

Geometric Factual Recall in Transformers cites this paper.

Geometric Factual Recall in Transformers Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T04:50:17.479689Z digest=sha256:327d478977b61a6231aac02a58180cee2b197a40853832d92313476b80958783

Observation 2c72eb8e-58bb-41f2-ad77-18d1dc0d82ef · inbound

Does Engram Do Memory Retrieval in Autoregressive Image Generation? cites this paper.

Does Engram Do Memory Retrieval in Autoregressive Image Generation? Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T20:33:17.978924Z digest=sha256:5f3c4e53e0cab2c1cedafcd64dd26a2f716b2f4636681937af2f390914deef8e

Observation 21177e49-70a8-4d81-8ff8-1151a35a9036 · inbound

Phasor Memory Networks: Stable Backpropagation Through Time for Scalable Explicit Memory cites this paper.

Phasor Memory Networks: Stable Backpropagation Through Time for Scalable Explicit Memory Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

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verified exact
arxiv_id, observed 2026-05-16T04:54:49.681471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T20:36:12.321162Z digest=sha256:719b10e03a7472ed30df486297abc5cb8a3e8e4bcd6b8e42fefd5b43740fa7e7

Observation 4c98b0a2-1612-4414-b8f0-afe96af46951 · inbound

NGM: A Plug-and-Play Training-Free Memory Module for LLMs cites this paper.

NGM: A Plug-and-Play Training-Free Memory Module for LLMs Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 8

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verified exact
local_arxiv, observed 2026-05-19T20:52:46.340163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T20:47:50.356747Z digest=sha256:bf3158dccb03f6c3d81ca0d14d157c2836316a6eeec0e8e25eadc2290f071d0c

Observation 83b3500a-2240-4e84-b677-bb47d355bc70 · inbound

Key-Gram: Extensible World Knowledge for Embodied Manipulation cites this paper.

Key-Gram: Extensible World Knowledge for Embodied Manipulation Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 23

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verified exact
local_arxiv, observed 2026-05-20T09:13:10.140293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T09:09:20.538333Z digest=sha256:13a6916cbd605ee2ac30af027c7a6b67feb9e38e1d6b12742379a39de5748958

Observation 45d5c64f-2e35-40a7-b62c-f83ab39773dc · inbound

Exact Linear Attention cites this paper.

Exact Linear Attention Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:59:01.531155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T20:58:21.512157Z digest=sha256:39959656bee1785c1b06b1e94046595de1b511e854723bd6274b078670d0658d

Observation 9c96a97b-c26c-4196-9c3e-d806053ea265 · inbound

Exact Linear Attention cites this paper.

Exact Linear Attention Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:49:53.921505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T08:44:58.108341Z digest=sha256:1f70cf06a4489850d62362916270b6e7229defc15306cf39673cf996f643c95c

Observation 82041fa1-9b5a-4367-af61-8d56bfb9833b · inbound

Exact Linear Attention cites this paper.

Exact Linear Attention Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:15:47.712542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T21:45:51.507382Z digest=sha256:55cb67ed0e337ff96f43439ac5b9503538d292a062856ab10095bd955eb1165e

Observation 9f32e03d-f49f-4ad2-8f90-2954aa206ce1 · inbound

Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision cites this paper.

Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

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verified exact
local_arxiv, observed 2026-05-21T07:49:50.277369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T07:46:05.375388Z digest=sha256:868d02c31e5c3cd9f1f1406788e624494040a71d1f7e787152069268e3c90ee8

Observation d1a88c86-9450-4e75-919e-b47de01712e5 · inbound

HRM-Text: Efficient Pretraining Beyond Scaling cites this paper.

HRM-Text: Efficient Pretraining Beyond Scaling Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 60

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verified exact
local_arxiv, observed 2026-05-21T05:43:59.027438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T05:41:41.397554Z digest=sha256:4bed07af94b2ea7cba9166bc89a77ef3389e589490c4f7cf91d642a0f57d4206

Observation 3e19df51-edf5-43df-b59a-9c798c04422a · inbound

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory cites this paper.

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

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verified exact
local_arxiv, observed 2026-05-21T05:49:40.804095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T05:49:14.789955Z digest=sha256:18168be714a21dc2e36fce2069d252de152119a35e58dcde2fe17fa8d4b653fe

Observation 86108285-99c7-4b9d-9248-cae1b1d44b70 · inbound

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate cites this paper.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:29:34.555281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T04:27:25.041652Z digest=sha256:c6638c1a14b1c564b3626f5a768a29a444aa3ec13db8847f07e7e1320ded9e18

Observation deb3445f-9de7-4394-93ae-27ce89656279 · inbound

Lngram: N-gram Conditional Memory in Latent Space cites this paper.

Lngram: N-gram Conditional Memory in Latent Space Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T12:34:38.927635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T12:27:38.766272Z digest=sha256:3a0fd85f134eb148cc1e7b3990ab9499168bc2ff0e522ab0fef6679ed7432617

Observation 47ebb449-7de9-42d6-a870-4060fcb17de5 · inbound

Simulating Human Memory with Language Models cites this paper.

Simulating Human Memory with Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:04:00.251833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T22:00:26.703406Z digest=sha256:8c97d18817685dc81f756836a3bbf0a8568182dfd3b7d359854f90f0185c50b9

Observation 579762a0-a66f-4c2b-8ef8-baef08c275d2 · inbound

Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers cites this paper.

Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:13:48.703630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:08:42.533804Z digest=sha256:d970a2618a10c9285b336342cb2fe11390315573c2acbb0d491ebba98b151872

Observation aa85cbbb-e1a6-4b6e-99f0-16f387e468af · inbound

LLMs Need Encoders for Semantic IDs Too cites this paper.

LLMs Need Encoders for Semantic IDs Too Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-28T20:42:37.363154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T20:32:36.937027Z digest=sha256:76d92d812b8e009fe63198b0b07d3190f665ebed7d27fcfca115215651d7117a

Observation 3c9bf9f1-7640-47fa-9630-cdac8d453449 · inbound

When Data Is Scarce: Scaling Sparse Language Models with Repeated Training cites this paper.

When Data Is Scarce: Scaling Sparse Language Models with Repeated Training Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-28T17:22:25.190601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T17:16:48.536850Z digest=sha256:a22df865e19574dc5ffb14719b92b4769221e702449a4c86ced0738dd25f3f12

Observation e2396907-cb81-411d-b5a4-e7c0c8a7082d · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:16:23.379670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T14:35:48.292081Z digest=sha256:3408d21efdb2dbd088210380a9cad928d6637a42355a1dcf80d09e09ee7f2df2

Observation 4df6c729-90dc-4efa-a9a6-ae3fe0c8d6f7 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T12:41:19.450015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:41:19.450015Z digest=sha256:cf500c26398d8305cb81710fa7317fcb0a3d5217b5e7a8e27078e40f7fc3995b

Observation 4dc36325-4dc3-4ddd-9b1c-0500be344904 · inbound

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks cites this paper.

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:06:43.800288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T07:13:54.031036Z digest=sha256:76bc9e6b1fb8275778188aecbca9f3910b8a08fb22f059b1a588a13821e282b7

Observation 2bf646af-2d36-436f-83f4-cf625ebd6c36 · inbound

Augmenting Molecular Language Models with Local $n$-gram Memory cites this paper.

Augmenting Molecular Language Models with Local $n$-gram Memory Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:37:56.675156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T09:57:12.398344Z digest=sha256:84a11b40c0e9e4061522a4035fbcc8cd4cb89ecac1a3c30c5099807b849e3a90

Observation 0f0ae932-35c6-4ba3-92fe-bf1dc7f13d83 · inbound

Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning cites this paper.

Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-06-27T07:10:41.966732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T06:30:55.592334Z digest=sha256:47a40ec4e0cd81c55ccc8591e690cfb098e92fa98cbfa65d70b49dcfcb9abd28

Observation fc49c01c-3190-46ae-a730-9a008f6784c3 · inbound

User as Engram: Internalizing Per-User Memory as Local Parametric Edits cites this paper.

User as Engram: Internalizing Per-User Memory as Local Parametric Edits Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:09:19.491229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T20:37:01.382431Z digest=sha256:726564d0eac63379809d45c31c49e878764ab01be005ef87ffd4cbfd5eddaa17

Observation bb257ad8-23b1-4b94-9d0b-dc4028ffeb2b · inbound

SpotAttention: Plug-In Block-Sparse Routing for Pretrained Long-Context Transformers cites this paper.

SpotAttention: Plug-In Block-Sparse Routing for Pretrained Long-Context Transformers Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:19:47.321264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T08:59:44.970855Z digest=sha256:d9deaa5d1290e5e1928a5195447bf35bd2b794c6d3f1ca6de6ab24d8ff46c83c

Observation 61fb8017-8b0f-438b-b281-505c2ee7b87b · inbound

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability cites this paper.

Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T17:15:50.565438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T04:08:37.263436Z digest=sha256:f28d2ae23119a5933fde34c1cb69d58cc0763b721b2074139b9a76a66119091d

Observation 57b7f3bd-d63e-46e9-8f64-c6b2c8044616 · inbound

Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training cites this paper.

Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T10:45:46.618668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:45:46.618668Z digest=sha256:21f02a7a1efe00f40a5d279b30d3cab431b7958110a0dce56858545c7af5fd4f

Observation 3f2e62be-9fc0-42b3-a789-cad75535c455 · inbound

TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models cites this paper.

TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-09T12:36:13.989046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T12:31:30.985214Z digest=sha256:b92edf5b0c7a5b7501ba58736596b4032f5014c92e2f80b0e25ab20018f3064c

Observation 2762f43b-0ce2-429a-968f-49f24013220e · inbound

Co-LMLM: Continuous-Query Limited Memory Language Models cites this paper.

Co-LMLM: Continuous-Query Limited Memory Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T01:45:50.752920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T01:44:45.683349Z digest=sha256:7201803e400518c4082c021e81ae6861af7f7befe0e7b7af9438514464c8eef6

Observation 95d9189e-7255-4d8e-9a2f-4da35ced5462 · inbound

More Than Memory: Task-Conditioned Signed FFN Writes in Long-Context Retrieval cites this paper.

More Than Memory: Task-Conditioned Signed FFN Writes in Long-Context Retrieval Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T09:48:57.809316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:48:57.809316Z digest=sha256:8b661e8d2829e61cf14fd7811689b1531a867439bb954870d53e6141b6b20402

Observation 33dd7702-4e23-4626-8262-b2c0afafed97 · inbound

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models cites this paper.

LookME: Lookup-Based Multimodal Embeddings for Layer Injection in Vision-Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T06:33:13.744408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:33:13.744408Z digest=sha256:2691d70deb916242ac4b27f390adc7900849cff97f50c41765e6c7a1cd2af2d1

Observation 5176f9e4-3092-4c31-8827-9b2a1d3d1562 · inbound

Convolution for Large Language Models cites this paper.

Convolution for Large Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T15:33:19.088107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:33:19.088107Z digest=sha256:044bf64d1ce172f797e522997b6ce22ceef4c7738892c98d539b26f442b655b5

Observation 59f4c2fd-fa14-4b82-bcab-d16b5853bad1 · inbound

Memory for Large Language Models cites this paper.

Memory for Large Language Models Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T02:37:54.108483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:37:54.108483Z digest=sha256:f87c1dff4d9d7f482c7c8aba89784e84174f370bccb7501364be6083ef81d849

Observation 9fba827b-e92a-412a-a116-be7990f3b112 · inbound

MemSFT: Mitigating Alignment Tax with an External Parametric Memory cites this paper.

MemSFT: Mitigating Alignment Tax with an External Parametric Memory Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T01:59:49.791419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:59:49.791419Z digest=sha256:84458b18ae37d632489f7e03abaadfec522de0d631dd941a86ffe40462e3f466

Observation 22a35314-e357-4eb4-ac6b-ca9a4e3e324e · inbound

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks cites this paper.

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T16:29:18.675199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:29:18.675199Z digest=sha256:555999c365338b466afa4079b2826e937783e3239e138bc94a0ee56d7a7d1e58