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Paper Citation Record · LEDGER

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2310.06762.

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

pith.paper-citation-record.v1
2310.06762 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:50:58.338763Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.009701Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 812bb03f-a412-4071-8224-919b0e4a9230 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.610943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:6c3752955fb892782b4e68991c4c5d04bb3e3112fce1d9cc5a54a3203eda1a03

Observation 78c99d8d-3a9f-4508-acd4-26b54c888187 · inbound

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization cites this paper.

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:51:30.388522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T14:46:45.598080Z digest=sha256:390331f3978159bfbe66aa424ce2be88d6273671e988edef9506c3417cb8635a

Observation 2ef2b202-a3b1-4297-b1fd-356656144046 · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:09.068676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T14:57:29.592305Z digest=sha256:dfccc3cf5d4bccd10b97c20e515f8ce889d828b44fc5ae6fc15fca7ccefa2e80

Observation 69065311-e286-4bd9-a620-ef4d270609a1 · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:05:57.223871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T00:52:39.062539Z digest=sha256:c0b41d11a41328c4c78e39928b1e60f467c54563b15461e7aee716ed5e167317

Observation 1760c42c-762c-4323-a849-7609cf7eb41a · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:42:06.526016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:534a92b7588dd78bc7bf8776453a52776102d3263e7c43706e64ebabb2c29695

Observation b175b812-baa0-487b-8ac6-d44944b5a860 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:12:37.500522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:a0cb3ebf1f99faa5fdb052ddf5ab39adb62fe65549a3a2e3b3a1278bed2d76c7

Observation d44ebfae-b104-4238-a329-4ee71bf2161e · inbound

Trajectory Supervision for Continual Tool-Use Learning in LLMs cites this paper.

Trajectory Supervision for Continual Tool-Use Learning in LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:18.638019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T03:20:20.779419Z digest=sha256:aaab1441ce452541c765eaad9152a711d718a2db0b3125d54ef9a1cf18c3017b

Observation 49688fc2-4767-4764-98f1-66db6b6e3f3b · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:07:41.568222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T17:06:12.280460Z digest=sha256:82c622f82bd893a820c252d4a93733c50c5db5decdd58a5f38625683ac5fbdcf

Observation 761c011c-eb4e-4bd2-84d9-d738388aab24 · inbound

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory cites this paper.

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:47:40.501520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T16:43:37.472644Z digest=sha256:718ba61c107f741148ba17d8cc9f238cd1116b0b3cb3e92f4e688085b9869797

Observation 4a554761-67cf-4dc3-99ae-b1f3c0852b91 · inbound

ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents cites this paper.

ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.871794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T18:45:21.005170Z digest=sha256:2ccf8b5b07ab1e3c102374598aaaeb04d24f2af62b51d26f7b798b1388c4bac9

Observation ae2059fd-a9fc-40d0-bf5c-da67b7b8ea7e · inbound

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning cites this paper.

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:12:50.604963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T23:13:14.912686Z digest=sha256:3301ccfcc0e05ae12997b7bd28936b04b5db6e17c2e1624867e99b2dc5c3c00a

Observation b2017921-c267-4153-bdd0-f68546b54a10 · inbound

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs cites this paper.

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:47.017661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T23:08:17.712026Z digest=sha256:9b87d30fcb91d941f8e349fc83815adf302d24d2780b279608cc40e332097cd9

Observation a6cf71f6-4c9a-47e1-beae-d63ac7161593 · inbound

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning cites this paper.

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.617941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T22:58:30.457420Z digest=sha256:bcba420240935fdac4d773ace314f46d186dceed5bfcf515dbba51205366c672

Observation 55bf8844-707b-427a-a693-073dbb10730c · inbound

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning cites this paper.

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:36:56.935068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T01:59:15.682726Z digest=sha256:77c09596489c3fdf2c71233d95bb41c2111f9b49fb29ac7f6553ab27ddaaf28a

Observation bb8e9fdf-fa45-4349-8c7b-de17c30c72e0 · inbound

RECAP: Regression Evaluation for Continual Adaptation of Prompts cites this paper.

RECAP: Regression Evaluation for Continual Adaptation of Prompts TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:06:56.294008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T02:24:52.140361Z digest=sha256:02745f63f8bf3e7ac58f631c8edc81ce7864b93246ae55427e8a3272bd5a6931

Observation 783f86e2-b6b6-4e63-b54e-309a649495f7 · inbound

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) cites this paper.

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:17:30.429868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T16:45:27.352655Z digest=sha256:63b9dcef057428cfc7817f42bb557d36f2715306baa051bb6533844f485de45f

Observation 78ce0c7e-243f-4d97-bb12-fbaf9e0abfaf · inbound

CEO-Bench: Can Agents Play the Long Game? cites this paper.

CEO-Bench: Can Agents Play the Long Game? TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:38:58.683482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T00:19:47.396643Z digest=sha256:3aca8cca3172acb4a97f5aee6a00674dc1fc793d2ec040f274899be4beba0aad

Observation 30248c63-19bc-41f6-a4bc-daa595ee7885 · inbound

CEO-Bench: Can Agents Play the Long Game? cites this paper.

CEO-Bench: Can Agents Play the Long Game? TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T11:01:20.674778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:01:20.674778Z digest=sha256:3d7a8acd3315abcaa21e8969b09e8897229f00ab88b3abf3c465ce323a677390

Observation 0d2be03c-0515-4267-b32b-427d7b0d6802 · inbound

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents cites this paper.

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:29.413834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T10:03:49.270726Z digest=sha256:d63c80bf9b5ab84326811a0c157964074580a39e14069fdfb97a9fc449d5c0e6

Observation dbe3633e-8900-4b48-a340-29e04405131d · inbound

Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks cites this paper.

Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:19:38.011288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T14:37:20.383589Z digest=sha256:581ef05e3e1ec811433701cf406d1174a3efbf0e1ab64163af2758b830e44d57

Observation cb198679-bdb0-46c3-acc7-cc94a62b367e · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.990678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:b7cc7dadd2d86d16088281fee1bddd23cfe5f1072c51198743a0f29fb96ed957

Observation 25ce3c79-71d3-4af3-8bef-89d2dab43f34 · inbound

Rethinking Transfer in Continual Learning: A Replay-Based Realisation cites this paper.

Rethinking Transfer in Continual Learning: A Replay-Based Realisation TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T22:58:00.735175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:58:00.735175Z digest=sha256:37afeb07484de0cba9477fe80198e68f3191c4456a0e927212195f612a7cf7a1

Observation 7e265a5f-c706-4087-8eea-5f0e0b7845d6 · inbound

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs cites this paper.

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T03:50:58.338763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:50:58.338763Z digest=sha256:d8ed156d2632dbb6b8870e67f92eda3437208c22474945f5837c3e42fb754672