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Paper Citation Record · LEDGER

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2311.03099.

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

pith.paper-citation-record.v1
2311.03099 v3

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 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:52:27.507099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:46:19.470021Z

Reference resolution

0 of 0 outbound references displayed

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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 09f22445-7eb2-4bda-8fac-5abc87265ea9 · inbound

Sparse Orthogonal Parameters Tuning for Continual Learning cites this paper.

Sparse Orthogonal Parameters Tuning for Continual Learning Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 35

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verified exact
arxiv_id, observed 2026-05-23T18:08:18.762939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T18:06:35.511653Z digest=sha256:219beddc81932b4260762720e82e73a8b2dd0dd810249412b163b0d36ee7b9f4

Observation 412a4a2b-2934-4da1-acd2-88f15d117eaf · inbound

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe cites this paper.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 27

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no resolver link, observed 2026-08-07T22:52:27.507099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:52:27.507099Z digest=sha256:8de2c8017965ba4593992c471a0e7d79cd851b34cae2087d0cbefa58da57f269

Observation ab7ebe6f-6520-48c9-828c-c68f3f652f2c · inbound

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer cites this paper.

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:22.225059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:22.225059Z digest=sha256:b7cab682cae728e4707a7dc4a3a1b050207d72764f0cb6a732e113f01920bb65

Observation e3aff125-dd54-4acd-b189-ba29af8e6b60 · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T11:10:17.261542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:17.261542Z digest=sha256:45e953917b7eb7a2b6e80ce6f7db519ddbe0a777e700cf5742f5d18918fe91d7

Observation 8fa7853b-92d4-4251-95da-97ac686426d6 · inbound

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants cites this paper.

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:46:22.659429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:46:22.659429Z digest=sha256:6ca6d548a07a807cb2316712a22508e9112b09d7f97b95238fd13ce7d2855136

Observation 5b247c0f-7363-4089-9244-3bb642eb3c8f · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:18.010987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:18.010987Z digest=sha256:65d510677c7c24c2e83c429e9fe13e5549c4c27448672dad5b348e6dfb7055c8

Observation 5768405a-92c9-4612-a778-c8db2fb34aca · inbound

DivMerge: A divergence-based model merging method for multi-tasking cites this paper.

DivMerge: A divergence-based model merging method for multi-tasking Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T11:59:12.964378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:59:12.964378Z digest=sha256:bd0784a18c8dc430a6a412e34721fb30fb1bb82dad8f3b2f632f50bf115f9eb0

Observation 1a186a9e-e78b-4d26-8a28-c42a4091cc18 · inbound

Harnessing Optimization Dynamics for Curvature-Informed Model Merging cites this paper.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T17:03:17.449534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:03:17.449534Z digest=sha256:f74e6170f89cd307038ac044f8cb056f77507b5fbb9d14698e25bd9d9cd00642

Observation f4a53877-dcc1-4ef7-a912-f344f0c68efb · inbound

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:45:26.476622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T06:40:51.046965Z digest=sha256:b7ec6589eeb31e890cebb5bef64b5694c7bbaf2312d6d9524c29ff0ba0bc257b

Observation 0e9b6b1f-95b4-4a60-b939-697c7bd9596b · inbound

Can Heterogeneous Language Models Be Fused? cites this paper.

Can Heterogeneous Language Models Be Fused? Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T11:00:02.143425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T10:57:01.529364Z digest=sha256:bf951adf33665c47cf74ef1085e448fecb97d44f096ba4bbd81f55f911608731

Observation 27e03c66-205b-4836-955f-50791fc37038 · inbound

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs cites this paper.

Weight Patching: Toward Source-Level Mechanistic Localization in LLMs Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:35:26.498421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:31:36.370422Z digest=sha256:a8364ade49facf3c1a9d6f2a64dbfa4b549930b1f0892ca22f087b5c1f509123

Observation 18e838fd-0110-4524-86e1-6012c542bd7f · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:56:11.355989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:52:28.822723Z digest=sha256:1d90f4e14539a3b56f65c7839947ae2b8218789a774a4f024ed5f3654fa10494

Observation fb9cb046-e5bb-4469-8815-09888b639e21 · inbound

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging cites this paper.

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T03:52:12.526176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T03:51:25.888170Z digest=sha256:db645ec460ed66e1d53074e928e6c8b690dfc4a1d0a1cc66d9016c06cc4c7dac

Observation 83101690-0993-46d2-a545-87d5f5785cf7 · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T07:49:49.876815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T07:49:13.043266Z digest=sha256:e8014542fa0533d8221f4d874c55482a25c60ea720a36481c0150856cd47aaf1

Observation b07b829a-0cf2-45a5-ad42-df229e7752eb · inbound

Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing cites this paper.

Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:03:29.437198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T14:00:31.962058Z digest=sha256:523bade6a76cf462e176f4e9c8a30b4b99631d4b0b8030977322f437977db445

Observation efb182f7-1623-49c7-9a27-d9a4e094ee14 · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:43:14.039825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:40d2cdfe3b6837cdf8110a3c6e03b08a147f796ae3fd6b3b661cacf64c05c54e

Observation 34a2a314-4cad-4cb9-a877-efd052a55862 · inbound

ResMerge: Residual-based Spectral Merging of Large Language Models cites this paper.

ResMerge: Residual-based Spectral Merging of Large Language Models Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:46:19.472569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T15:03:27.081409Z digest=sha256:fdd826593637af21ac9b8ba13decdb7d097e1687551fc4a6edf712dab42d60db

Observation 74c1a128-250d-41ef-949f-0492b934f725 · inbound

Spectral Rewiring for Exploration, Purification, and Model Merging cites this paper.

Spectral Rewiring for Exploration, Purification, and Model Merging Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T05:08:55.438431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:08:55.438431Z digest=sha256:719a5db7089bd3cd4b806efcbc778477331793ad6c657ffda30d224808512d53

Observation d3c11659-25ca-4a1c-b0bf-69bd7b421dfb · inbound

modelDNA: Calibrated Lineage Verification and Merge Decomposition from Sampled Weight Fingerprints cites this paper.

modelDNA: Calibrated Lineage Verification and Merge Decomposition from Sampled Weight Fingerprints Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T10:27:28.207221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:27:28.207221Z digest=sha256:0c055c112b489b014416c36f6dd9953440ba9c412cf75ef9539fa53ab7bacaa9

Observation 3e33077c-cdfe-4e4c-a17a-4cfbfdb668b6 · inbound

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis cites this paper.

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 20

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unresolved
no resolver link, observed 2026-07-14T04:33:33.238860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:33:33.238860Z digest=sha256:5825076416ae7c3e805cfb04569c3f114332c43065721d4ce53a0af655119dbf

Observation c6a398ea-4670-477c-81c0-9f6cbca8c5b4 · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 59

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unresolved
no resolver link, observed 2026-08-01T16:24:22.263480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:24:22.263480Z digest=sha256:82336fad29ae5d06913a7adc41d1514a2a92e16c9f53d5b6e712fc80b1230d41

Observation 2ee01e5b-6354-47eb-8f0d-25cbb6aefa01 · inbound

Asymmetric Collapse in Model Merging: When Refusal Over- writes Recognition cites this paper.

Asymmetric Collapse in Model Merging: When Refusal Over- writes Recognition Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:38:26.313940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:38:26.313940Z digest=sha256:80465b820b405d8b22f05254adc9df5e2ce938cd8833a7898bfbb85af7dd6889

Observation 56301c56-598b-43e6-bbc3-0ce67aa5c5c3 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:13.051723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:13.051723Z digest=sha256:7ea1ab0fd5ed587cda5b87f31e9e34072be7a9245022cdb730901e84ce5472a4