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Paper Citation Record · LEDGER

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2512.03704.

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

pith.paper-citation-record.v1
2512.03704 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:50:02.361941Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28dd29c1-38a4-4afa-8804-e82b2489f400 · outbound

This paper cites an unresolved cited work.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Unresolved cited work

Reference 1

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Observation c4ee74a4-66c3-4b33-97d7-0c7a269b5bb8 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts ORPO: Monolithic Preference Optimization without Reference Model

Reference 2

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Observation ea62e05b-7e46-4b0d-abfe-d5845755e6a4 · outbound

This paper cites an unresolved cited work.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Unresolved cited work

Reference 3

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Observation 1bfe64ab-5c42-4fa2-9471-933f467da8bf · outbound

This paper cites the historical inertia. Case 2: Recent Conflict (t→T) Behavior: w(t;T)→1 and β(t;T)→β min (relaxed constraint). Effect: The term σ(−β∆) dictates the margin. A smaller β implies a.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts the historical inertia. Case 2: Recent Conflict (t→T) Behavior: w(t;T)→1 and β(t;T)→β min (relaxed constraint). Effect: The term σ(−β∆) dictates the margin. A smaller β implies a

Reference 4

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source=pdf_text observed=2026-08-03T18:50:01.011059Z digest=sha256:25cef61e98885b67e5590386f09e7c4926c5a03bdb80cb8ba617f06fc77d2535

Observation 34d0a4f9-1182-42ac-89a1-b7adceab8401 · outbound

This paper cites an unresolved cited work.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-03T18:50:00.787213Z digest=sha256:e2b3ec33e4f08626bb50f636bf2a293cf7e94b22bb93ffe9dc09eab74559ca93

Observation 94827f53-2570-4fa3-887a-86aa32e53420 · outbound

This paper cites We model the dialogue gen- eration as a sequence of decision problems where the underlying data distribution Dt changes.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts We model the dialogue gen- eration as a sequence of decision problems where the underlying data distribution Dt changes

Reference 9

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Observation 30b51e7c-8a4e-4735-a4e9-170d871cdf4f · outbound

This paper cites Alignment Tax.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Alignment Tax

Reference 10

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source=pdf_text observed=2026-08-03T18:50:01.197847Z digest=sha256:8cf9d4677f24eabcc865841b1c4c8ee403a5e7c82073d93129f2cb8689e9d989

Observation c6c45643-7b91-4ecb-8426-8477270d578a · outbound

This paper cites The optimal attention window τ ∗ is inversely pro- portional to the magnitude of the distributional drift ∆max.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts The optimal attention window τ ∗ is inversely pro- portional to the magnitude of the distributional drift ∆max

Reference 11

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Observation 228d29d8-5167-442e-a2c3-8c549e05dd1f · outbound

This paper cites To imple- ment Theorem 2, we construct a tractable proxy using Semantic Embedding Similarity.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts To imple- ment Theorem 2, we construct a tractable proxy using Semantic Embedding Similarity

Reference 12

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source=pdf_text observed=2026-08-03T18:50:01.349473Z digest=sha256:8467c995ed7d0389bc12982dd72b3bd437cf4aaae151209679b859b9bfa4688e

Observation 82de63c3-d32e-4a7e-b76d-d125a2dc9f25 · outbound

This paper cites state cluster.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts state cluster

Reference 13

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Observation 4d41e605-370a-444d-93fb-1e7d1b34ce7a · outbound

This paper cites Surprise.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Surprise

Reference 14

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source=pdf_text observed=2026-08-03T18:50:01.555479Z digest=sha256:5f91442506efb4cedaece0c47f59ee84df807e0bcd6e5f647e4d97d906f66771

Observation 687757b5-ca6d-4632-bd90-7bd2d75ca5fc · outbound

This paper cites Subtle Negation.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Subtle Negation

Reference 15

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Observation 47a5f1ae-4285-4448-b5ab-595b8b8f84b9 · outbound

This paper cites Standard DPO attempts to suppress GN solely through penalty terms, leading to high vari- ance and optimization instability.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Standard DPO attempts to suppress GN solely through penalty terms, leading to high vari- ance and optimization instability

Reference 16

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Observation a07e90b2-7ce1-4617-86fd-e77b9d737d29 · outbound

This paper cites 10) that modulates the attention weights αt before the loss computa- tion.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts 10) that modulates the attention weights αt before the loss computa- tion

Reference 17

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Observation 313c5bf0-8471-4033-89b3-49dada902414 · outbound

This paper cites 6) directly to the loss gradient during backpropagation.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts 6) directly to the loss gradient during backpropagation

Reference 18

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Observation e1cb7c70-4bcd-44f9-a9bb-44f7abc6ae30 · outbound

This paper cites pre- conditions.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts pre- conditions

Reference 19

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Observation ef979ee2-44d2-44e7-883d-c5f95c57a639 · outbound

This paper cites Cool that is okay. My mom was very tough on me.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Cool that is okay. My mom was very tough on me

Reference 20

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Observation 15e02f2f-c15d-449e-b56c-1c66c3714e95 · outbound

This paper cites Instead of stopping, it hallucinates new ‘User‘ prompts, effectively re- verting from an instruct-following model to a text completion engine.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Instead of stopping, it hallucinates new ‘User‘ prompts, effectively re- verting from an instruct-following model to a text completion engine

Reference 22

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source=pdf_text observed=2026-08-03T18:50:02.207350Z digest=sha256:4895896470fd2681f8037bb9d0dc471181c4df6eb599e54be5db7dd9c55e5e61

Observation e1b89724-8bbb-4243-9e40-ffc35ec1a705 · outbound

This paper cites Do not add anything else,.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Do not add anything else,

Reference 23

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Observation 841c30d8-d595-4417-bdb7-bbf6f4445465 · outbound

This paper cites The Traps.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts The Traps

Reference 24

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source=pdf_text observed=2026-08-03T18:50:02.361941Z digest=sha256:912497b286d26eeb828194fee141502a363d5353afef071233147cb63960abd3

Observation fd5ea54f-64aa-47ea-89b7-8cf95811f806 · outbound

This paper cites safety preaching.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts safety preaching

Reference 53

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source=pdf_text observed=2026-08-03T18:50:02.131007Z digest=sha256:4de494a2ea6f573a4d8f2b4c3da6dede72108f257e2337cf0cd6357709b8cf08

Observation be5a8a41-8236-4536-ae79-9f7c60156ce8 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts A General Language Assistant as a Laboratory for Alignment

Reference 2021

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Observation 79534ca0-fd56-4a18-bcc4-64041dc21158 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 2024

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Observation 3e400335-aec1-48e6-8ca0-29c2e45b8018 · outbound

This paper cites Qwen2.5 Technical Report.

Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts Qwen2.5 Technical Report

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.